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1195 lines
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1195 lines
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<ol class="chapter"><li class="chapter-item expanded "><a href="index.html"><strong aria-hidden="true">1.</strong> Overview</a></li><li class="chapter-item expanded "><a href="map/index.html"><strong aria-hidden="true">2.</strong> Map model</a></li><li><ol class="section"><li class="chapter-item expanded "><a href="map/importing/index.html"><strong aria-hidden="true">2.1.</strong> Importing</a></li><li><ol class="section"><li class="chapter-item expanded "><a href="map/importing/convert_osm.html"><strong aria-hidden="true">2.1.1.</strong> convert_osm</a></li><li class="chapter-item expanded "><a href="map/importing/geometry.html"><strong aria-hidden="true">2.1.2.</strong> Road/intersection geometry</a></li><li class="chapter-item expanded "><a href="map/importing/rest.html"><strong aria-hidden="true">2.1.3.</strong> The rest</a></li></ol></li><li class="chapter-item expanded "><a href="map/edits.html"><strong aria-hidden="true">2.2.</strong> Live edits</a></li><li class="chapter-item expanded "><a href="map/misc.html"><strong aria-hidden="true">2.3.</strong> Misc</a></li></ol></li><li class="chapter-item expanded "><a href="trafficsim/index.html"><strong aria-hidden="true">3.</strong> Traffic simulation</a></li><li><ol class="section"><li class="chapter-item expanded "><a href="trafficsim/discrete_event.html"><strong aria-hidden="true">3.1.</strong> Discrete event simulation</a></li><li class="chapter-item expanded "><a href="trafficsim/travel_demand.html"><strong aria-hidden="true">3.2.</strong> Travel demand</a></li><li class="chapter-item expanded "><a href="trafficsim/gridlock.html"><strong aria-hidden="true">3.3.</strong> Gridlock</a></li></ol></li><li class="chapter-item expanded "><a href="project/index.html"><strong aria-hidden="true">4.</strong> Project</a></li><li><ol class="section"><li class="chapter-item expanded "><a href="project/roadmap.html"><strong aria-hidden="true">4.1.</strong> Roadmap</a></li><li class="chapter-item expanded "><a href="project/motivations.html"><strong aria-hidden="true">4.2.</strong> Motivations</a></li></ol></li></ol>
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<h1 class="menu-title">A/B Street</h1>
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<main>
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<h1><a class="header" href="#ab-street" id="ab-street">A/B Street</a></h1>
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<p>I'm consolidating documentation here.</p>
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<h1><a class="header" href="#map-model" id="map-model">Map model</a></h1>
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<p>A/B Street builds a rich representation of a city map using OpenStreetMap (OSM) and other sources. This chapter describes how.</p>
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<p>TODO: Integrate pictures from
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<a href="https://docs.google.com/presentation/d/1cF7qFtjAzkXL_r62CjxBvgQnLvuQ9I2WTE2iX_5tMCY/edit?usp=sharing">these slides</a>.</p>
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<p><a href="https://youtu.be/chYd5I-5oyc?t=439">This recorded presentation</a> covers some of
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this.</p>
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<h2><a class="header" href="#the-map" id="the-map">The map</a></h2>
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<p>A single city is broken down into different pieces...</p>
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<p>A/B Street comes with a few maps, each defined by a bounding/clipping polygon
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for some portion of Seattle. Each map has these objects:</p>
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<ul>
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<li><strong>Roads</strong>: A single road connects two intersections, carrying OSM metadata and
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containing some child lanes.</li>
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<li><strong>Lanes</strong>: An individual lane of traffic. Driving (any vehicle), bus-only, and
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bike-only lanes have a direction. On-street parking lanes don't allow any
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movement, and they have some number of parking spots. Sidewalks are
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bidirectional.</li>
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<li><strong>Intersections</strong>: An intersection has references to all of the incoming and
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outgoing lanes. Most intersections have a stop sign or traffic signal policy
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controlling movement through it.
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<ul>
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<li><strong>Border</strong> intersections on the edge of the map are special places where
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agents may appear or disappear.</li>
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</ul>
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</li>
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<li><strong>Turns</strong>: A turn connects one lane to another, via some intersection.
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(Sidewalks are bidirectional, so specifying the intersection is necessary to
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distinguish crosswalks at each end of a sidewalk.)</li>
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<li><strong>Buildings</strong>: A building has a position, OSM metadata, and a <strong>front path</strong>
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connecting the edge of the building to the nearest sidewalk. Most trips in A/B
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Street begin and end at buildings. Some buildings also contain a number of
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off-street parking spots.</li>
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<li><strong>Area</strong>: An area has geometry and OSM metadata and represents a body of
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water, forest, park, etc. They're just used for drawing.</li>
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<li><strong>Bus stop</strong>: A bus stop is placed some distance along a sidewalk, with a
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pointer to the position on the adjacent driving or bus lane where a bus stops
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for pick-up.</li>
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<li><strong>Bus route</strong>: A bus route has a name and a list of stops that buses will
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cycle between. In the future, they'll include information about the
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frequency/schedule of the route.</li>
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<li><strong>Parking lot</strong>: A parking lot is connected to a road, has a shape, and has
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some internal driving "aisles." The number and position of individual parking
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spots is auto-generated.</li>
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</ul>
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<h2><a class="header" href="#coordinate-system" id="coordinate-system">Coordinate system</a></h2>
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<p>A/B Street converts (longitude, latitude) coordinates into a simpler form.</p>
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<ul>
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<li>An (x, y) point starts with the top-left of the bounding polygon as the
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origin. Note this is screen drawing order, not a Cartesian plane (with Y
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increasing upwards) -- so angle calculations account for this.</li>
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<li>The (x, y) values are f64's trimmed to a few decimal places, with way more
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precision than is really needed. These might become actual fixed-point
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integers later, but for now, a <code>Pt2D</code> skirts around Rust's limits on f64's by
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guaranteeing no NaN's or infinities and thus providing the full <code>Eq</code> trait.</li>
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<li>A few places in map conversion compare points using different thresholds,
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usually below 1 meter. Ideally these epsilon comparisons could be eliminated
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in favor of a fixed-point integer representation, but for now, explicit
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thresholds are useful.</li>
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</ul>
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<h2><a class="header" href="#invariants" id="invariants">Invariants</a></h2>
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<p>Ideally, the finalized maps would satisfy a list of invariants, simplifying the
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traffic simulation and drawing code built on top. But the input data is quite
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messy and for now, most of these aren't quite guaranteed to be true.</p>
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<ul>
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<li>Some minimum length for lanes and turns. Very small lanes can't be drawn, tend
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to break intersection polygons, and may lead to gridlocked traffic.</li>
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<li>Some guarantees that positions along adjacent lanes actually match up, even
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though different lanes on the same road may have different lengths. Examples
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include the position of a bus stop on the sidewalk and bus lane matching up.
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<ul>
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<li>Additionally, parking lanes without an adjacent driving lane or bus stops
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without any driving or bus lanes make no sense and should never occur.</li>
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</ul>
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</li>
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<li>Connectivity -- any sidewalk should be reachable from any other, and most
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driving lanes should be accessible from any others. There are exceptions due
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to border intersections -- if a car spawns on a highway along the border of
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the map, it may be forced to disappear on the opposite border of the map, if
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the highway happens to not have any exits within the map boundary.</li>
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</ul>
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<h2><a class="header" href="#connectivity" id="connectivity">Connectivity</a></h2>
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<p>For a single mode, each lane is connected to two intersections. Turns connect
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two lanes. There are no turns between sidewalks and driving/bike/bus lanes.</p>
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<p>All buildings and parking lots have driveways. This must connect to a sidewalk,
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allowing pedestrians to enter/exit that object. The driveway OPTIONALLY
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connects to the nearest driveable lane. This allows cars to enter/exit that
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object for parking.</p>
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<p>Public transit stops are located somewhere on a sidewalk. They're associated
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with a driveable position where the bus or train stops. In the future, this
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will need to account for dedicated surface-level platforms and for underground
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transit stations, likely associated with a building.</p>
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<p>There's a concept of "parking blackholes." If you treat every road as
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bidirectional without access restrictions, then the graph is connected. But the
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more detailed view has to factor in one-way roads and things near the map
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border. These blackholes influence where cars will try to look for parking
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(since we don't want them entering a blackhole and getting stuck) and also, for
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temporary/unintentional reasons, where pedestrian<->bicycle transitions will
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happen.</p>
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<h1><a class="header" href="#importing" id="importing">Importing</a></h1>
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<p>Overview of the process. The importer tool.</p>
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<p>Don't be afraid of how complicated this seems. It started simple -- just bring
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in OSM roads, chop into pieces, generate turns.</p>
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<h1><a class="header" href="#from-osm-to-rawmap-convert_osm-crate" id="from-osm-to-rawmap-convert_osm-crate">From OSM to RawMap (<code>convert_osm</code> crate)</a></h1>
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<p>The first phase of map building reads in data from OSM files and a few others,
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producing a serialized <code>RawMap</code>. Importing all maps (one for each pre-defined
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bounding polygon) takes a few minutes. Players don't see this cost; it only
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takes a few seconds to load a serialized map.</p>
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<ul>
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<li><code>osm.rs</code>: Read .osm, extracting the points for road-like ways, buildings, and
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areas
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<ul>
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<li>Areas usually come from a relation of multiple ways, with the points out of
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order. Gluing all the points together fails when the .osm has some ways
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clipped out. In that case, try to trace along the map boundary if the
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partial area intersects the boundary in a clear way. Otherwise, just use a
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straight line to try to close off the polygon.</li>
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<li>Also read traffic signal locations and turn restrictions between OSM ways</li>
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</ul>
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</li>
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<li><code>split_ways.rs</code>: Split OSM ways into road segments
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<ul>
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<li>OSM ways cross many intersections, so treat points with multiple ways and
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the points at the beginning and end of a way as intersections, then split
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the way into road segments between two intersections.</li>
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<li>This phase remembers which road segment is the beginning and end of the OSM
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way, for per-lane turn restrictions later</li>
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<li>Apply turn restrictions between roads here. Since OSM ways cross many
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intersections, the turn restrictions only apply to one particular road
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segment that gets created from the way. Make sure the destination of the
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restriction is actually incident to a particular source road.</li>
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</ul>
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</li>
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<li><code>clip.rs</code>: Clip the map to the boundary polygon
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<ul>
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<li>Osmosis options in <code>import.sh</code> preserve ways that cross the boundary</li>
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<li>Trim roads that cross the boundary. There may be cases where a road dips out
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of bounds, then immediately comes back in. Disconnecting it isn't ideal, but
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it's better to manually tune the boundary polygon when this happens than try
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to preserve lots of out-of-bounds geometry.</li>
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<li>Area polygons are intersected with the boundary polygon using the <code>clipping</code>
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crate</li>
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</ul>
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</li>
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<li><code>lib.rs</code>: Remove cul-de-sacs (roads that begin and end at the same
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intersection), because they mess up parking hints and pathfinding.</li>
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<li><code>lib.rs</code>: Apply parking hints from a King County GIS blockface dataset
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<ul>
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<li>Match each blockface to the nearest edge of a road</li>
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<li>Interpret the metadata to assign on-street parking there or not</li>
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</ul>
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</li>
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<li><code>lib.rs</code>: Apply offstreet parking hints from a King County GIS dataset
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<ul>
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<li>Match each point to the building containing it, plumbing through the number
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of spots</li>
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</ul>
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</li>
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<li><code>lib.rs</code>: <strong>Disabled</strong>: Apply sidewalk presence hints from a King County GIS
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dataset
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<ul>
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<li>Match each sidewalk line to the nearest edge of a road</li>
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<li>Update the road to have a sidewalk on none, one, or both sides</li>
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</ul>
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</li>
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<li><code>lib.rs</code> using the <code>srtm</code> module: Load (extremely poor quality) elevation data</li>
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</ul>
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<h1><a class="header" href="#roadintersection-geometry-rawmap-to-initialmap" id="roadintersection-geometry-rawmap-to-initialmap">Road/intersection geometry: RawMap to InitialMap</a></h1>
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<p>The remainder of map construction is done in the <code>map_model</code> crate. There's one
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intermediate structure between <code>RawMap</code> and <code>Map</code>, called <code>InitialMap</code>.</p>
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<ul>
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<li><code>make/remove_disconnected.rs</code>: Remove disconnected roads
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<ul>
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<li>Just floodfill from some road, assuming all roads are bidirectional, to get
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different partitions.</li>
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<li>Remove roads from all but the largest partition</li>
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</ul>
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</li>
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<li><code>make/initial/mod.rs</code> and <code>make/initial/lane_specs.rs</code>: Interpret OSM tags to
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figure out what lanes are on each side of each road, also figuring out the
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total width of the road.</li>
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<li><code>make/initial/geometry.rs</code>: Figure out the polygon for each intersection, and
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trim back road center-lines to end at a face of the polygon.
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<ul>
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<li>For every road touching the intersection, get the polyline of each side,
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based on the road's width
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<ul>
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<li>See appendix for how to shift polylines</li>
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</ul>
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</li>
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<li>Sort all the polylines by the angle to the intersection's shared point</li>
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<li>Intersect every polyline with every other polyline
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<ul>
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<li>More specifically -- the second half of each polyline, to get the correct
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collision point</li>
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<li>Look at the perpendicular infinite line to the collision point on the
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shifted polyline, then find where it hits the original center line. Trim
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back the center line by the max distance from these collisions.</li>
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</ul>
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</li>
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<li>Compute the intersection's polygon by considering collisions between
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adjacent roads' polylines</li>
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<li>Deal with short roads and floating point issues by deduping any adjacent
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points closer than 0.1m</li>
|
|
</ul>
|
|
</li>
|
|
</ul>
|
|
<h1><a class="header" href="#initialmap-to-map" id="initialmap-to-map">InitialMap to Map</a></h1>
|
|
<p>Still in the <code>map_model</code> crate.</p>
|
|
<ul>
|
|
<li><code>map.rs</code>'s <code>make_half_map</code>: Expand roads to lanes, using the list of lane
|
|
types from before</li>
|
|
<li><code>make/turns.rs</code>: Generate turns for every intersection.
|
|
<ul>
|
|
<li>Vehicle turns (for cars, bikes, buses)
|
|
<ul>
|
|
<li>Consider every pair of roads in the intersection. Try to match up lane
|
|
types -- if there's a bike lane on both roads, don't add a turn from
|
|
driving->bike or bike->driving. If there's not, then fallback to
|
|
transitions between different lane types.</li>
|
|
<li>Classify the turn based on the difference between the angle of the
|
|
incoming lane's last line and the outgoing lane's first line
|
|
<ul>
|
|
<li>For straight turns, use the Cartesian product to link every incoming
|
|
with every outgoing lane. If the indices dont match up, the turn becomes
|
|
a <code>LaneChangeLeft</code> or <code>LaneChangeRight</code> turn. This is used later for
|
|
intersection policies to prioritize turns appropriately.</li>
|
|
<li>Right and left turns only originate from the one lane on the appropriate
|
|
side</li>
|
|
</ul>
|
|
</li>
|
|
</ul>
|
|
</li>
|
|
<li>Walking turns for pedestrians
|
|
<ul>
|
|
<li>Consider pairs of adjacent roads around the intersection
|
|
<ul>
|
|
<li>Make a crosswalk to the other side of the road, assuming there's a
|
|
sidewalk on both sides</li>
|
|
<li>Make a shared sidewalk corner over to the adjacent road</li>
|
|
<li>If the adjacent road doesn't have a sidewalk on the close side, then
|
|
consider skipping that road and making a crosswalk over to the next
|
|
road. An example of this is a crosswalk over a highway on/off ramp.</li>
|
|
</ul>
|
|
</li>
|
|
</ul>
|
|
</li>
|
|
<li>Verify all the turns so far are unique</li>
|
|
<li>Filter by the OSM turn restrictions ("only straight" between road1 and
|
|
road2)</li>
|
|
<li>Try to apply the OSM per-lane restrictions ("straight or left" from lane 3)
|
|
<ul>
|
|
<li>The number of lanes in the OSM metadata might not match up with how many
|
|
lanes created</li>
|
|
<li>Some of these OSM tags are just completely wrong sometimes. If the filter
|
|
makes an incoming lane lose all of its turns, then ignore that tag.</li>
|
|
</ul>
|
|
</li>
|
|
</ul>
|
|
</li>
|
|
<li><code>make/parking_blackholes.rs</code>: Find well-connected roads near "blackhole"
|
|
lanes.
|
|
<ul>
|
|
<li>Starting from most driving/biking lanes, most other lanes are reachable.
|
|
Some aren't -- such as one-way highways inevitably leading from or to a
|
|
border. These are "blackholes" -- pathfinding to or from here may fail.</li>
|
|
<li>Find the largest strongly-connected component (SCC) in the driving graph.
|
|
From every other lane (a blackhole), floodfill both forwards and backwards
|
|
to find the nearest driving lane part of the main SCC.</li>
|
|
<li>Later, if a car needs to park by a building on a blackhole road, it'll
|
|
instead start searching for parking at the redirect. This prevents it from
|
|
being forced to instead exit the map through a border.</li>
|
|
</ul>
|
|
</li>
|
|
<li><code>make/buildings.rs</code>: Match buildings up with sidewalks
|
|
<ul>
|
|
<li>Find the closest sidewalk polyline to each building's center. Then draw a
|
|
straight line for the front path between the edge of the building and the
|
|
sidewalk point.</li>
|
|
<li>Filter out buildings too far away from any sidewalk</li>
|
|
<li>The front path might cross through other buildings; this is probably not
|
|
worth fixing.</li>
|
|
</ul>
|
|
</li>
|
|
<li><code>make/buildings.rs</code>: Same for parking lots
|
|
<ul>
|
|
<li>Similar process to match parking lots to nearest sidewalk and driving lane</li>
|
|
<li>Try to place parking spots along both sides of parking aisles</li>
|
|
<li>Filter out overlapping spots</li>
|
|
</ul>
|
|
</li>
|
|
<li><code>make/bridges.rs</code>: Find what roads lie beneath bridges, and update their
|
|
Z-order accordingly for later drawing.</li>
|
|
<li><code>stop_signs.rs</code>: Instantiate default stop sign policies
|
|
<ul>
|
|
<li>Rank incoming roads by OSM priority (arterial beats residential)</li>
|
|
<li>If there's only one rank, then make an all-way stop</li>
|
|
<li>Otherwise, the highest rank gets priority and others stop
|
|
<ul>
|
|
<li>Check if there are any conflicts based on this. If so, then fall-back to
|
|
an all way stop.</li>
|
|
</ul>
|
|
</li>
|
|
</ul>
|
|
</li>
|
|
<li><code>traffic_signals.rs</code>: Instantiate default traffic signal policies
|
|
<ul>
|
|
<li>Apply the first predefined policy that works.
|
|
<ul>
|
|
<li>4-way 4 phase, 4-way 2 phase, 3-way 3-phase, degenerate policy for 2
|
|
roads, 2-phase for 4 one-ways</li>
|
|
<li>Fallback to a greedy assignment that just randomly starts a new phase,
|
|
adds all compatible turns, and repeats until all turns are present
|
|
priority in some phase.</li>
|
|
</ul>
|
|
</li>
|
|
</ul>
|
|
</li>
|
|
<li><code>pathfind/mod.rs</code>: Prepare pathfinding
|
|
<ul>
|
|
<li>A/B Street uses contraction hierarchies (CH) for fast routing, using the
|
|
<code>fast_paths</code> crate.</li>
|
|
<li><code>pathfind/vehicle.rs</code>: For cars, bikes, buses
|
|
<ul>
|
|
<li>There's a separate CH for cars, buses, and bikes, since they can use
|
|
slightly different sets of lanes.</li>
|
|
<li>Building the CH for buses and bikes is much faster than the one for cars,
|
|
because the algorithm can re-use the node ordering from the first CH.</li>
|
|
<li>Every lane is a node in the graph, even if it's not an appropriate lane
|
|
type -- it might change later, and reusing orderings is vital for speed.</li>
|
|
<li>If two lanes are connected by a turn, then there's an edge in the graph.
|
|
<ul>
|
|
<li>The edge weight is the length of the lane and turn. Later this could
|
|
take into account speed limit, penalize lane-changing and left turns,
|
|
etc.</li>
|
|
</ul>
|
|
</li>
|
|
</ul>
|
|
</li>
|
|
<li><code>pathfind/walking.rs</code>: For pedestrians
|
|
<ul>
|
|
<li>Only sidewalk lanes are nodes in the graph -- sidewalks can't ever be
|
|
changed in A/B Street, so there's no concern about reusing node orderings.</li>
|
|
<li>All turns between two sidewalks become edges, again using length</li>
|
|
<li>When actually pathfinding, we get back a list of sidewalks. The actual
|
|
paths used in the traffic simulation specify forwards or backwards on a
|
|
sidewalk. Looking at adjacent pairs of sidewalks lets us easily stitch
|
|
together exact directions.</li>
|
|
</ul>
|
|
</li>
|
|
</ul>
|
|
</li>
|
|
<li><code>make/bus_stops.rs</code>: Match bus stops with a sidewalk
|
|
<ul>
|
|
<li>Also precompute the position where the bus stops on the adjacent driving or
|
|
bus lane.</li>
|
|
<li>This "equivalent position on another lane" process has a few weird cases,
|
|
since two lanes on the same road might have different lengths. Right now,
|
|
the same distance from the start of the lane is used, with clamping for
|
|
shorter lanes. Ideally, the position would be found by projecting a
|
|
perpendicular line out from one lane to the other.</li>
|
|
</ul>
|
|
</li>
|
|
<li><code>make/bus_stops.rs</code>: Finalize the list of bus routes
|
|
<ul>
|
|
<li>Between each pair of adjacent bus stops, run pathfinding to verify there's
|
|
actually a path for the bus to follow. If any are disconnected, remove the
|
|
bus route</li>
|
|
<li>Remove bus stops that have no routes serving them.</li>
|
|
</ul>
|
|
</li>
|
|
<li><code>pathfind/walking.rs</code>: Precompute the CH for pedestrians who will use buses
|
|
<ul>
|
|
<li>Nodes in the graph are sidewalks and every bus stop</li>
|
|
<li>There's an edge with weight 0 between a bus stop and its sidewalk</li>
|
|
<li>There's also an edge with weight 0 between bus stops that're adjacent via
|
|
some route. Ideally this weight would account for the time until the next
|
|
bus and the time spent on the bus, etc.</li>
|
|
<li>Later when figuring out which bus to use for a pedestrian, the resulting
|
|
list of nodes is scanned for the first and last bus stop along the same
|
|
route.</li>
|
|
</ul>
|
|
</li>
|
|
</ul>
|
|
<h1><a class="header" href="#live-edits" id="live-edits">Live edits</a></h1>
|
|
<p>A key feature of A/B Street is the player editing the map and seeing how traffic
|
|
responds. The possible edits include:</p>
|
|
<ul>
|
|
<li>Change lane types (driving, bus, bike, parking -- sidewalks are fixed)</li>
|
|
<li>Change speed limits</li>
|
|
<li>Reverse a lane</li>
|
|
<li>Change a stop sign policy (which roads have a stop sign and which have
|
|
priority)</li>
|
|
<li>Change a traffic signal policy</li>
|
|
</ul>
|
|
<p>The map conversion process outlined above takes a few minutes, so reusing this
|
|
process directly to compute a map with edits wouldn't work at all for real
|
|
gameplay. Instead, the process for applying edits is incremental:</p>
|
|
<ul>
|
|
<li>Figure out the actual diff between edits and the current map
|
|
<ul>
|
|
<li>This is necessary for correctness, but also speeds up a sequence of edits
|
|
made in the UI -- only one or two lanes or intersections actually changes
|
|
each time. Of course when loading some saved edits, lots of things might
|
|
change.</li>
|
|
</ul>
|
|
</li>
|
|
<li>For any changed roads, make sure any bus stop on it have a good pointer to
|
|
their equivalent driving position for the bus.</li>
|
|
<li>For any modified intersections, recompute turns and the default intersection
|
|
policies</li>
|
|
<li>Recompute all the CHs for cars, buses, and bikes -- note sidewalks and bus
|
|
stops never change
|
|
<ul>
|
|
<li>This is the slowest step. Critically, the <code>fast_paths</code> crate lets a previous
|
|
node ordering be reused. If just a few edge weights change, then recomputing
|
|
is much faster than starting from scratch.</li>
|
|
<li>While making edits in the UI, we don't actually need to recompute the CH
|
|
after every little tweak. When the player exits edit mode, only then do we
|
|
recompute everything.</li>
|
|
</ul>
|
|
</li>
|
|
</ul>
|
|
<p>A list of lanes and intersections actually modified is then returned to the
|
|
drawing layer, which uploads new geometry to the GPU accordingly.</p>
|
|
<h1><a class="header" href="#development-tricks" id="development-tricks">Development tricks</a></h1>
|
|
<ul>
|
|
<li>Separate phases for fast incremental development
|
|
<ul>
|
|
<li>Don't reimport all data from OSM every time there's a change to part of the
|
|
map construction code!</li>
|
|
<li>For slow steps that don't change often, make them separate binaries -- hence
|
|
<code>convert_osm</code> being separate from the rest.</li>
|
|
</ul>
|
|
</li>
|
|
<li>Don't be afraid of manual intervention
|
|
<ul>
|
|
<li>The data isn't perfect. It's easy to spend lots of time fiddling with code
|
|
to automatically handle all problems</li>
|
|
<li>Instead of automatically resolving problems, prefer good tooling for finding
|
|
and specifying fixes</li>
|
|
<li>Be careful of derivative structures that could get out of sync with OSM.
|
|
Prefer contributing real fixes to OSM.</li>
|
|
</ul>
|
|
</li>
|
|
<li>Screenshot diff testing
|
|
<ul>
|
|
<li>When working on the code for intersection geometry, it's easy to check a few
|
|
example cases get fixed by some change. But what if another part of the map
|
|
regresses somehow?</li>
|
|
<li>Take screenshots of the entire map, keep the checksums under version
|
|
control, look at the diffs visually, and manually verify any changes.</li>
|
|
<li>Implementation details: One huge gif or png is too slow to read and write,
|
|
so take a bunch of tiled screenshots covering everything. Amusingly,
|
|
rendering to a file with <code>glium</code> is slow unless compiling in release mode
|
|
(which isn't an option for quick incremental development). So instead, pan
|
|
to each section of the map, render it, call an external screenshot utility,
|
|
and move on -- just don't wiggle the mouse during this process!</li>
|
|
</ul>
|
|
</li>
|
|
<li>Different IDs for objects make sense during different phases
|
|
<ul>
|
|
<li>For the final product, lanes and such are just a contiguous array, indexed
|
|
by numeric IDs.</li>
|
|
<li>But sometimes, we need IDs that're the same between different boundary
|
|
polygons of maps, so that player edits can be applied anywhere. Using
|
|
(longitude, latitude) pairs hits floating-point serialization and comparison
|
|
issues, so referring to roads as (OSM way ID, OSM node ID 1, OSM node ID 2)
|
|
works instead.</li>
|
|
</ul>
|
|
</li>
|
|
</ul>
|
|
<h2><a class="header" href="#appendix-polylines" id="appendix-polylines">Appendix: PolyLines</a></h2>
|
|
<p>Add some pictures here to demonstrate how polyline shifting works, the
|
|
explode-to-infinity problem, and the bevel/miter fix.</p>
|
|
<h1><a class="header" href="#ab-streets-traffic-simulation" id="ab-streets-traffic-simulation">A/B Street's Traffic Simulation</a></h1>
|
|
<p>This article describes how cars, bikes, buses, and pedestrians are modeled in
|
|
A/B Street. All code lives in the <code>sim</code> crate.</p>
|
|
<p><a href="https://youtu.be/chYd5I-5oyc?t=1086">This recorded presentation</a> covers some of
|
|
this.</p>
|
|
<h1><a class="header" href="#discrete-event-simulation" id="discrete-event-simulation">Discrete-event simulation</a></h1>
|
|
<p>The traffic simulation models different agents (cars, bikes, buses, pedestrians,
|
|
and intersections) over time. Agents don't constantly sense and react to the
|
|
world every second; instead, they remain in some state until something
|
|
interesting happens. This is a discrete-event architecture -- events are
|
|
scheduled for some time in the future, and handling them changes the state of
|
|
some agents. The core simulation loop simply processes events in order -- see
|
|
<code>scheduler.rs</code> and the <code>step</code> method in <code>sim.rs</code>.</p>
|
|
<h2><a class="header" href="#cars" id="cars">Cars</a></h2>
|
|
<p>(Note: Cars, bikes, and buses are all modeled the same way -- bikes just have a
|
|
max speed, and buses/bikes can use restricted lanes.)</p>
|
|
<p>Cars move through a sequence of lanes and turns (movements through an
|
|
intersection). They queue and can't over-take a slow lead vehicle. The main
|
|
simplifying assumption in A/B Street is that cars can instantly accelerate and
|
|
decelerate. This wouldn't model highway driving at all, where things like jam
|
|
waves are important, but it's reasonable for in-city driving. The essence of
|
|
scarcity is the capacity on lanes and the contention at intersections. What
|
|
happens in between isn't vital to get exactly right.</p>
|
|
<p>A car has a few states (<code>mechanics/car.rs</code>):</p>
|
|
<ul>
|
|
<li><strong>Crossing</strong> some distance of a lane/turn over some time interval</li>
|
|
<li><strong>Queued</strong> behind another car on a lane/turn</li>
|
|
<li><strong>WaitingToAdvance</strong> at the end of a lane, blocked on an intersection</li>
|
|
<li>A few states where the car stays in one place: <strong>Parking</strong>, <strong>Unparking</strong>, and
|
|
<strong>Idling</strong> (for buses at a stop)</li>
|
|
</ul>
|
|
<p>State transitions happen in <code>mechanics/driving.rs</code>. This is best explained by an
|
|
example sequence:</p>
|
|
<ul>
|
|
<li>A car enters the Unparking state, taking a fixed 30s to exit a parking spot
|
|
and enter the adjacent driving lane. The driving lane is blocked during this
|
|
time, to mimic somebody pulling out from a parallel parking spot.</li>
|
|
<li>The car is now fully somewhere on the driving lane. It enters the Crossing
|
|
state, covering the remaining distance to the end of the road. The time
|
|
interval is calculated assuming the car travels at the max speed limit of the
|
|
road.</li>
|
|
<li>After that time, the car checks if there's anybody in the queue before it.
|
|
Nope? Then it attempts to initiate a turn through the intersection, but the
|
|
stop sign says no, so the car enters the WaitingToAdvance state.</li>
|
|
<li>Some time later, the stop sign wakes up the car. The car starts the turn,
|
|
entering the Crossing state again.</li>
|
|
<li>After finishing the turn, the car starts Crossing the next lane. When it's
|
|
finished, it turns out there are a few cars ahead of it, so it enters the
|
|
Queued state.</li>
|
|
<li>When the lead vehicle directly in front of the car exits the lane, it wakes up
|
|
the car, putting it in the Crossing state, starting at the appropriate
|
|
following distance behind the lead vehicle. This prevents the car from
|
|
immediately warping to the end of the lane when the lead vehicle is out of the
|
|
way.</li>
|
|
<li>And so on...</li>
|
|
</ul>
|
|
<h3><a class="header" href="#exact-positions" id="exact-positions">Exact positions</a></h3>
|
|
<p>For a discrete-event simulation, we don't usually care exactly where on a lane a
|
|
car is at some time. But we do need to know for drawing and for a few cases
|
|
during simulation, such as determining when a bus is lined up with a bus stop in
|
|
the middle of a lane. <code>mechanics/queue.rs</code> handles this, computing the distance
|
|
of every car in a lane. For cars in the <code>Crossing</code> state, we linearly
|
|
interpolate distance based on the current time. Of course, cars have to remain
|
|
in order, so Queued cars are limited by the lead vehicle's position + the lead
|
|
vehicle's length + a fixed following distance of 1m.</p>
|
|
<p>Another case where we need to know exact positions of cars is to prevent the
|
|
first vehicle on a lane from hitting the back of a car who just left the lane.
|
|
All vehicles have length, and position is tracked by the front of the car. When
|
|
a car's front leaves a lane, its back is still partly in the lane. Logically,
|
|
the new lead car in the lane still needs to act like it's Queued. So each lane
|
|
keeps a "laggy head", pointing to the car with its back partly in the lane.
|
|
After the laggy head has made it sufficient distance along its new turn or lane,
|
|
the laggy head on the old lane can be erased, unblocking the lead vehicle. This
|
|
requires calculating exact distances and some occasionally expensive cases where
|
|
we have to schedule frequent events to check when a laggy head is clear.</p>
|
|
<h2><a class="header" href="#lane-changing" id="lane-changing">Lane-changing</a></h2>
|
|
<p>Lane-changing (LCing) deserves special mention. A/B Street cheats by not
|
|
allowing it on lanes themselves. Instead, at intersections, cars can perform
|
|
turns that shift them over any number of lanes. These LCing turns conflict with
|
|
other turns appropriately, so the contention is still modeled. Why do it this
|
|
way? In a
|
|
<a href="http://apps.cs.utexas.edu/tech_reports/reports/tr/TR-2157.pdf">previous project</a>,
|
|
I tried opportunistic LCing. If a car had room to warp to the equivalent
|
|
distance on the adjacent lane without causing a crash, it would start LCing,
|
|
then take a fixed time to slide over, blocking both lanes throughout. This meant
|
|
cars often failed to LC when they needed to, forcing them to reroute, botching
|
|
their trip times. In many cases the cars would be permanently stuck, because
|
|
pathfinding would return paths requiring LCing that couldn't be pulled off in
|
|
practice due to really short roads. Why not try making the car slow down if
|
|
needed? Eventually it might have to stop, which could lead to unrealistic
|
|
gridlock. This LCing model was using a detailed discrete-time model with cars
|
|
accelerating properly; maybe it's easier with A/B Street's simplified movement
|
|
model.</p>
|
|
<p>Currently in A/B Street, cars will pick the least backed-up lane when there's a
|
|
choice. They make this decision once when they reach the front of a queue; look
|
|
for <code>opportunistically_lanechange</code> in <code>router.rs</code>. The decision could be
|
|
improved.</p>
|
|
<h2><a class="header" href="#pedestrians" id="pedestrians">Pedestrians</a></h2>
|
|
<p>Pedestrian modeling -- in <code>mechanics/walking.rs</code> is way simpler. Pedestrians
|
|
don't need to queue on sidewalks; they can "ghost" through each other. In
|
|
Seattle, there aren't huge crowds of people walking and slowing down, except for
|
|
niche cases like Pike Place Market. So in A/B Street, the only scarce resource
|
|
modeled is the time spent waiting to cross intersections.</p>
|
|
<h2><a class="header" href="#intersections" id="intersections">Intersections</a></h2>
|
|
<p>I need to flesh this section out. See <code>mechanics/intersections.rs</code> for how stop
|
|
signs and traffic signals work. Two things I need to fix before making this
|
|
section interesting:</p>
|
|
<ul>
|
|
<li>Only wake up relevant agents when a previous agent finishes a turn.</li>
|
|
<li>Don't let an agent start a low-priority turn (like an unprotected left) if
|
|
it'll force a high-priority vehicle approaching to wait. The approaching
|
|
vehicle is still in the Crossing state, so we need to notify intersections
|
|
ahead of time of intended turns and an ETA.</li>
|
|
</ul>
|
|
<p>One contributor to permanent gridlock is cars and bikes being stuck in an
|
|
intersection, preventing conflicting turns from being performed. To help avoid
|
|
this, one of the last checks that stop signs and traffic signals perform before
|
|
accepting a new turn request is that the target lane has enough space for the
|
|
new vehicle. This is "reserved" space, not necessarily currently occupied by
|
|
vehicles in that lane. This accounts for other vehicles performing a turn bound
|
|
for that lane. See <code>try_to_reserve_entry</code> in <code>mechanics/queue.rs</code>. When a car
|
|
completely leaves a lane (determined by the "laggy head" described above), this
|
|
space is freed, and blocked cars are woken up.</p>
|
|
<h2><a class="header" href="#appendix-discrete-time-simulation" id="appendix-discrete-time-simulation">Appendix: discrete-time simulation</a></h2>
|
|
<p>A/B Street's first traffic model was discrete-time, meaning that every agent
|
|
reacted to the world every 0.1s. Cars had a more realistic kinematics model,
|
|
accelerating to change speed and gradually come to a halt. Cars did a worst-case
|
|
estimation of how far ahead they need to lookahead in order to satisfy different
|
|
constraints:</p>
|
|
<ul>
|
|
<li>Don't exceed any speed limits</li>
|
|
<li>Don't hit the lead vehicle (which might suddenly slam on its brakes)</li>
|
|
<li>Stop at the end of a lane, unless the intersection says to go</li>
|
|
</ul>
|
|
<p>After fighting with this approach for a long time, I eventually scrapped it in
|
|
favor of the simpler discrete-event model because:</p>
|
|
<ul>
|
|
<li>It's fundamentally slow; there's lots of busy work where cars in freeflow with
|
|
nothing blocking them or stopped in a long queue constantly check to see if
|
|
anything has changed.</li>
|
|
<li>Figuring out the acceleration to apply for the next 0.1s in order to satisfy
|
|
all of the constraints is really complicated. Floating point inaccuracies
|
|
cause ugly edge cases with speeds that wind up slightly negative and with cars
|
|
coming to a complete stop slightly past the end of a lane. I wound up storing
|
|
the "intent" of an action to auto-correct these errors.</li>
|
|
<li>The realism of having cars accelerate smoothly didn't add value to the core
|
|
idea in A/B Street, which is to model points of contention like parking
|
|
capacity and intersections. (This is the same reason why I don't model bike
|
|
racks for parking bikes -- in Seattle, it's never hard to find something to
|
|
lock to -- this would be very different if Copenhagen was the target.)
|
|
Additionally, the kinematics model made silly assumptions about driving anyway
|
|
-- cars would smash on their accelerators and brakes as hard as possible
|
|
within all of the constraints.</li>
|
|
</ul>
|
|
<h1><a class="header" href="#travel-demand" id="travel-demand">Travel demand</a></h1>
|
|
<p>A/B Street simulates people following a schedule of trips over a day. A single
|
|
<em>trip</em> has a start and endpoint, a departure time, and a mode. Most trips go
|
|
between buildings, but the start or endpoint may also be a border intersection
|
|
to represent something outside the map boundaries. The mode specifies whether
|
|
the person will walk, bike, drive, or use transit. Without a good set of people
|
|
and trips, evaluating some changes to a map is hard -- what if the traffic
|
|
patterns near the change aren't realistic to begin with? This chapter describes
|
|
where the travel demand data comes from.</p>
|
|
<h2><a class="header" href="#scenarios" id="scenarios">Scenarios</a></h2>
|
|
<p>A <em>scenario</em> encodes the people and trips taken over a day. See the
|
|
<a href="https://github.com/dabreegster/abstreet/blob/master/sim/src/make/scenario.rs">code</a>.</p>
|
|
<p>TODO:</p>
|
|
<ul>
|
|
<li>talk about vehicle assignment / parked car seeding</li>
|
|
</ul>
|
|
<h2><a class="header" href="#data-sources" id="data-sources">Data sources</a></h2>
|
|
<h3><a class="header" href="#seattle-soundcast" id="seattle-soundcast">Seattle: Soundcast</a></h3>
|
|
<p>Seattle luckily has the Puget Sound Regional Council, which has produced the
|
|
<a href="https://www.psrc.org/activity-based-travel-model-soundcast">Soundcast model</a>.
|
|
They use census stats, land parcel records, observed vehicle counts, travel
|
|
diaries, and lots of other things I don't understand to produce a detailed model
|
|
of the region. We're currently using their 2014 model; the 2018 one should be
|
|
available sometime in 2020. See the
|
|
<a href="https://github.com/dabreegster/abstreet/tree/master/importer/src/soundcast">code</a>
|
|
for importing their data.</p>
|
|
<p>TODO:</p>
|
|
<ul>
|
|
<li>talk about how trips beginning/ending off-map are handled</li>
|
|
</ul>
|
|
<h3><a class="header" href="#berlin" id="berlin">Berlin</a></h3>
|
|
<p>This work is <a href="https://github.com/dabreegster/abstreet/issues/119">ongoing</a>. See
|
|
the
|
|
<a href="https://github.com/dabreegster/abstreet/blob/master/importer/src/berlin.rs">code</a>.
|
|
So far, we've found a population count per planning area and are randomly
|
|
distributing the number of residents to all residential buildings in each area.</p>
|
|
<h3><a class="header" href="#proletariat-robot" id="proletariat-robot">Proletariat robot</a></h3>
|
|
<p>What if we just want to generate a reasonable model without any city-specific
|
|
data? One of the simplest approaches is just to spawn people beginning at
|
|
residential buildings, make them go to some workplace in the morning, then
|
|
return in the evening. OpenStreetMap building tags can be used to roughly
|
|
classify building types and distinguish small houses from large apartments. See
|
|
the <code>proletariat_robot</code>
|
|
<a href="https://github.com/dabreegster/abstreet/blob/master/sim/src/make/activity_model.rs">code</a>
|
|
for an implementation of this.</p>
|
|
<p>This is <a href="https://github.com/dabreegster/abstreet/issues/154">ongoing</a> work
|
|
spearheaded by Mateusz. Some of the ideas for next steps are to generate
|
|
different types of people (students, workers), give them a set of activities
|
|
with durations (go to school for 7 hours, 1 hour lunch break), and then further
|
|
pick specfic buildings to travel to using more OSM tags.</p>
|
|
<h2><a class="header" href="#modifying-demand" id="modifying-demand">Modifying demand</a></h2>
|
|
<p>The travel demand model is extremely fixed; the main effect of a different
|
|
random number seed is currently to initially place parked cars in specific
|
|
spots. When the player makes changes to the map, exactly the same people and
|
|
trips are simulated, and we just measure how trip time changes. This is a very
|
|
short-term prediction. If it becomes much more convenient to bike or bus
|
|
somewhere, then more people will do it over time. How can we transform the
|
|
original demand model to respond to these changes?</p>
|
|
<p>Right now, there's very preliminary work in sandbox mode for Seattle weekday
|
|
scenarios. You can cancel all trips for some people (simulating lockdown) or
|
|
modify the mode for some people (change 50% of all driving trips between 7 and
|
|
9am to use transit).</p>
|
|
<h2><a class="header" href="#research" id="research">Research</a></h2>
|
|
<ul>
|
|
<li>https://github.com/replicahq/doppelganger</li>
|
|
<li>https://github.com/stasmix/popsynth</li>
|
|
<li>https://zephyrtransport.github.io/zephyr-directory/projects/</li>
|
|
<li>https://activitysim.github.io</li>
|
|
<li>https://github.com/BayAreaMetro/travel-model-one</li>
|
|
<li>https://github.com/RSGInc/DaySim</li>
|
|
</ul>
|
|
<h1><a class="header" href="#gridlock" id="gridlock">Gridlock</a></h1>
|
|
<p>Here "gridlock" refers to the general problem of trips getting permanently
|
|
stuck, preventing the full simulation from completing. Most of the work is
|
|
tracked <a href="https://github.com/dabreegster/abstreet/issues/114">here</a>.</p>
|
|
<p>My general approach right now to get a map working is to cancel some percent of
|
|
all trips, look for individual problems, fix them, and repeat. Once the full day
|
|
works, cancel less trips. It's easier to isolate the root cause of problems when
|
|
there are less of them erupting simultaneously.</p>
|
|
<p>The general lesson is: you can't code your way around all edge cases. The data
|
|
in OSM often needs manual fixes. It's often useful to spend coding effort on
|
|
tools to detect and fix OSM problems.</p>
|
|
<h2><a class="header" href="#problems" id="problems">Problems</a></h2>
|
|
<p>The choices in the movement model matter. Some gridlock is inherent to any
|
|
system with queueing and conflicting turns. But in reality, people wiggle around
|
|
partly blocked turns. And some of this comes from the treatment of the
|
|
front/back of vehicles.</p>
|
|
<ul>
|
|
<li>Short roads in OSM causing very weird geometry</li>
|
|
<li>Intersection geometry being too large, requiring too much time to cross</li>
|
|
<li>Unrealistic traffic patterns caused by everyone trying to park in one big
|
|
garage (downtown) or take some alley (the UW soundcast issue)</li>
|
|
<li>Too many people try to take an unprotected left turn (often at a stop sign)</li>
|
|
<li>Bad individual traffic signals, usually at 5- or 6-ways</li>
|
|
<li>Groups of traffic signals logically acting as a single intersection</li>
|
|
<li>Separate traffic signals along a corridor being unsynchronized</li>
|
|
<li>Vehicles performing illegal sequences of turns</li>
|
|
<li>Vehicles are stuck with their plan and not reacting to traffic by changing
|
|
route</li>
|
|
<li>Real traffic would result in a gridlock without a deliberate actions to avoid
|
|
it. Such actions range from individual decisions of drivers to police manually
|
|
controlling traffic. Intelligent avoidance of gridlock is not simulated and is
|
|
extremely hard to simulate.</li>
|
|
<li>Vehicles will wait in lane filled with already waiting vehicles, even if there
|
|
is a completely empty lane allowing travel in desired direction. It makes
|
|
easier for entire lane between crossings to fill, contributing to gridlocks.
|
|
Note that while this and other clearly stupid behaviors are clearly
|
|
unrealistic, it is not trivial to implement more realistic and more efficient
|
|
decisions.</li>
|
|
<li>Issues caused by the unrealistic
|
|
<a href="https://github.com/dabreegster/abstreet/blob/master/docs/articles/trafficsim/article.md#lane-changing">lane-changing model</a>
|
|
<ul>
|
|
<li>Two turns that go to the same lane (one going "straight", the other often a
|
|
lane-change) conflict. The conflict is coarse, at the granularity of the
|
|
entire intersection. So if vehicles are piled up in two lanes trying to
|
|
merge into one, then one group is likely to go through as expected, but the
|
|
second group will wait for the first to completely clear the intersection.
|
|
Until then, it looks like a conflicting turn is being done.</li>
|
|
</ul>
|
|
</li>
|
|
</ul>
|
|
<h2><a class="header" href="#solutions" id="solutions">Solutions</a></h2>
|
|
<p>Divide into implemented or not.</p>
|
|
<ul>
|
|
<li>Synchronizing pairs of signals</li>
|
|
<li>Uber-turns
|
|
<ul>
|
|
<li>for interpreting OSM turn restrictions</li>
|
|
<li>for synchronizing a group of signals</li>
|
|
<li>for locking turn sequences
|
|
<ul>
|
|
<li>Once a vehicle starts an uber-turn, prevent others from starting
|
|
conflicting turns on nearby intersections. Until groups of traffic signals
|
|
are configured as one, this is necessary to prevent somebody from making
|
|
it halfway through a sequence then getting blocked.</li>
|
|
</ul>
|
|
</li>
|
|
</ul>
|
|
</li>
|
|
<li>Cycle detector</li>
|
|
<li>block-the-box protection
|
|
<ul>
|
|
<li>the manual list of overrides</li>
|
|
<li>likely shouldn't apply during uber-turns</li>
|
|
<li>is it always fine to block the box at degenerate intersections?</li>
|
|
</ul>
|
|
</li>
|
|
<li>hacks to allow conflicting turns at really broken intersections</li>
|
|
<li>manually timing signals</li>
|
|
<li>penalties for lane choice to make lane usage realistic</li>
|
|
</ul>
|
|
<h3><a class="header" href="#not-implemented" id="not-implemented">Not implemented</a></h3>
|
|
<ul>
|
|
<li>Dynamic rerouting</li>
|
|
<li>Allow multiple vehicles through intersection at once if there is enough space
|
|
on lane where given vehicle is going. Currrently vehicles travel through
|
|
crossings one by one (or, with <code>--disable_block_the_box</code> enabled - will enter
|
|
crossing even if leaving it will be impossible).</li>
|
|
<li>Last resort: if someone's waiting on a turn >5m, just go.</li>
|
|
<li>Uber-turns
|
|
<ul>
|
|
<li>Group both stop sign and traffic signal intersections when looking for
|
|
uber-turns. Even a single traffic signal surrounded by tiny roads with stop
|
|
signs is causing problems.</li>
|
|
</ul>
|
|
</li>
|
|
</ul>
|
|
<h2><a class="header" href="#fixing-data-used-in-simulation" id="fixing-data-used-in-simulation">Fixing data used in simulation</a></h2>
|
|
<p>Give more examples of changesets.</p>
|
|
<ul>
|
|
<li>upstreaming turn restrictions into OSM to prevent invalid U-turns and other
|
|
crazy movements
|
|
<ul>
|
|
<li>ex: https://www.openstreetmap.org/changeset/87945050</li>
|
|
</ul>
|
|
</li>
|
|
<li>upstreaming lane count fixes into OSM to improve geometry</li>
|
|
</ul>
|
|
<h1><a class="header" href="#project-logistics" id="project-logistics">Project logistics</a></h1>
|
|
<p>This has some background/logistics about the project.</p>
|
|
<h1><a class="header" href="#roadmap" id="roadmap">Roadmap</a></h1>
|
|
<p>A/B Street has been under active development since June 2018. That's a long time
|
|
-- what work is happening now and how can you contribute?</p>
|
|
<h2><a class="header" href="#next-steps-summer-2020" id="next-steps-summer-2020">Next steps, summer 2020</a></h2>
|
|
<p>Afer the alpha launch in June, I plan to focus on:</p>
|
|
<ul>
|
|
<li>shared biking/walking trails like the Burke Gilman</li>
|
|
<li>light rail</li>
|
|
<li>more score functions besides trip time, like safety/comfort</li>
|
|
<li>changing trip mode choice (if you make a bus route more desirable, switch some
|
|
trips)</li>
|
|
<li>web support (so people can try out proposals without installing anything)</li>
|
|
</ul>
|
|
<h2><a class="header" href="#ongoing-work" id="ongoing-work">Ongoing work</a></h2>
|
|
<p>If I had resources to hire a team, this is roughly how I'd organize different
|
|
roles. If you're interested in helping, these aren't strictly defined positions,
|
|
just ideas of related tasks.</p>
|
|
<h3><a class="header" href="#ui-and-data-visualization" id="ui-and-data-visualization">UI and data visualization</a></h3>
|
|
<p>We've got a UX designer, but implementing all of the new designs takes time.
|
|
Also:</p>
|
|
<ul>
|
|
<li>improve color schemes for colorblind players, implement night mode, rain
|
|
effects, etc</li>
|
|
<li>refactor and clean up the GUI library for other Rust users</li>
|
|
<li>lots of data viz design / implementation needed</li>
|
|
</ul>
|
|
<h3><a class="header" href="#game-design" id="game-design">Game design</a></h3>
|
|
<ul>
|
|
<li>the tutorial mode needs attention</li>
|
|
<li>many ideas for challenge/story modes, but playtesting, tuning, and game design
|
|
needed</li>
|
|
</ul>
|
|
<h3><a class="header" href="#map-data--gis" id="map-data--gis">Map data / GIS</a></h3>
|
|
<p>Support more cities:</p>
|
|
<ul>
|
|
<li>write docs/tools to help people add new cities without programming experience</li>
|
|
<li>add support for non-OpenStreetMap input: GeoJSON for parking in Perth, other
|
|
trip demand sources, etc</li>
|
|
<li>fix bugs for driving on the left side of the road</li>
|
|
</ul>
|
|
<p>Improve the quality of map geometry derived from OpenStreetMap:</p>
|
|
<ul>
|
|
<li>try new algorithms to generate intersection polygons</li>
|
|
<li>make tools for easily improving relevant data in OSM</li>
|
|
<li>use ML and lidar/satellite data to get extremely accurate curb / planter /
|
|
sidewalk geometry</li>
|
|
</ul>
|
|
<p>Build tools and organize community mapping:</p>
|
|
<ul>
|
|
<li>organize an effort to map how traffic signals are timed (partly started)</li>
|
|
<li>divide and track work for distributed mapathons</li>
|
|
</ul>
|
|
<p>Bring in new data to understand more about cities:</p>
|
|
<ul>
|
|
<li>PM2.5 pollution</li>
|
|
<li>Tax / land value (is there inequitable access to transit?)</li>
|
|
</ul>
|
|
<h3><a class="header" href="#simulation--modeling" id="simulation--modeling">Simulation / modeling</a></h3>
|
|
<p>Totally new areas:</p>
|
|
<ul>
|
|
<li>light rail</li>
|
|
<li>shared bike/pedestrian paths</li>
|
|
<li>ridesharing</li>
|
|
<li>micromobility (scooters, floating bikeshare)</li>
|
|
<li>more score functions (elevation gain, biking safety)</li>
|
|
<li>generating trip demand / activity models from scratch or modifying existing
|
|
ones</li>
|
|
</ul>
|
|
<p>Improve existing models:</p>
|
|
<ul>
|
|
<li>overtaking / lane-changing</li>
|
|
<li>pedestrian crowds</li>
|
|
<li>instant vehicle acceleration</li>
|
|
<li>pedestrians walking on road shoulders (some streets have no sidewalks)</li>
|
|
<li>buses: transfers, proper schedules, multiple buses per route</li>
|
|
</ul>
|
|
<h3><a class="header" href="#web" id="web">Web</a></h3>
|
|
<p>A/B Street runs on the web via WASM and WebGL; just waiting on vector text
|
|
support. Besides that:</p>
|
|
<ul>
|
|
<li>Share community proposals online, discuss them, vote, etc</li>
|
|
</ul>
|
|
<h2><a class="header" href="#contributing-for-non-programmers" id="contributing-for-non-programmers">Contributing for non-programmers</a></h2>
|
|
<p>There's plenty to do besides programming!</p>
|
|
<ul>
|
|
<li>Mapping, most of which directly contributes to OpenStreetMap:
|
|
<ul>
|
|
<li>sidewalks and crosswalks</li>
|
|
<li><a href="https://dabreegster.github.io/abstreet/map_parking.html">on-street parking</a></li>
|
|
<li><a href="https://docs.google.com/document/d/1Od_7WvBVYsvpY4etRI0sKmYmZnwXMAXcJxVmm8Iwdcg/edit?usp=sharing">traffic signal timing</a></li>
|
|
</ul>
|
|
</li>
|
|
<li>Playtesting by attempting to implement real proposals would also be helpful,
|
|
to expose where it's awkward for A/B Street to edit the map and to write up
|
|
problems encountered.</li>
|
|
<li>Advocacy: I'm not great at finding the right people to to get ideas
|
|
implemented for real. Maybe you are?</li>
|
|
</ul>
|
|
<h2><a class="header" href="#long-term-vision" id="long-term-vision">Long-term vision</a></h2>
|
|
<p>Longer term, I'd like to take lots of the work in generating and interacting
|
|
with high-detail OpenStreetMap-based maps and generalize it, possibly as a new
|
|
OSM viewer/editor.</p>
|
|
<p>More generally, I'd like to see how simulation can help individuals understand
|
|
and explore other policy decisions related to cities. Domains I'm vaguely
|
|
interested in, but not at all knowledgable about, include land-use / zoning,
|
|
housing, and supply chains. In late March 2020, a new collaborator started a
|
|
pandemic model using the existing simulation of people occupying shared spaces.
|
|
What are other domains could benefit from the rich agent-based model we're
|
|
building?</p>
|
|
<h1><a class="header" href="#project-motivations" id="project-motivations">Project motivations</a></h1>
|
|
<p>I thought it'd be helpful to explain what motivates my work in A/B Street. These
|
|
are just my personal values; I don't intend to make a careful argument about
|
|
these here. In no particular order:</p>
|
|
<ul>
|
|
<li>
|
|
<p><strong>Transparency and reproducibility</strong>: if city government uses data, modeling,
|
|
or simulation to inform a decision affecting the general public, then anybody
|
|
ought to be able to repeat that analysis.</p>
|
|
<ul>
|
|
<li>This means code and data should be open.</li>
|
|
<li>Businesses like <a href="https://replicahq.com/">Sidewalk Lab's Replica</a> and
|
|
<a href="https://www.remix.com/solutions/streets">Remix</a> still need to generate
|
|
income, but it's unclear why governments use taxes to pay for something only
|
|
they see.</li>
|
|
<li>Decision making should be documented clearly. Why were the
|
|
<a href="https://www.seattle.gov/transportation/projects-and-programs/programs/maintenance-and-paving/current-paving-projects/35th-ave-ne">35th Ave bike lanes</a>
|
|
scrapped? Was the amount of on-street parking on nearby residential roads
|
|
factored in? Was there analysis of how trip time is impacted by parking in
|
|
the neighborhood and walking a few blocks to a business on the arterial?</li>
|
|
<li>I'm personally inspired by approaches like
|
|
<a href="https://info.vtaiwan.tw/">vTaiwan</a> and
|
|
<a href="https://po.pdis.nat.gov.tw/en/opengov/">PDIS</a></li>
|
|
</ul>
|
|
</li>
|
|
<li>
|
|
<p><strong>Accessibility leads to participation</strong>: There's overhead to taking small
|
|
ideas to advocacy groups or inconveniently timed public meetings. If the
|
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planning process is easier to interact with, more people will participate.</p>
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<ul>
|
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<li>Seattle's
|
|
<a href="https://www.seattle.gov/neighborhoods/programs-and-services/your-voice-your-choice">Your Voice, Your Choice</a>
|
|
program is maybe an example of this</li>
|
|
</ul>
|
|
</li>
|
|
<li>
|
|
<p><strong>Short-term changes</strong>: <a href="https://en.wikipedia.org/wiki/Sound_Transit_3">ST3</a>
|
|
is exciting, but 2040 isn't close. There are much cheaper changes that can be
|
|
implemented sooner.</p>
|
|
<ul>
|
|
<li>Most of the edits in A/B Street are inspired by tactical urbanism; they
|
|
could be prototyped with signs and paint.</li>
|
|
</ul>
|
|
</li>
|
|
<li>
|
|
<p><strong>The US is too dependent on cars</strong>: This has an unacceptable impact on the
|
|
environment. Even ignoring that, many cities are out of room to build more
|
|
roads. We can't keep scaling population like this.</p>
|
|
</li>
|
|
<li>
|
|
<p><strong>Autonomous vehicles will NOT save the day</strong>: They can squeeze more
|
|
throughput out of existing infrastructure, but only up to a point. They might
|
|
encourage people to move and tolerate longer commutes. Mass transit and dense
|
|
land-use patterns handle population growth better.</p>
|
|
</li>
|
|
<li>
|
|
<p><strong>Compromise and trade-offs</strong>: I see lots of rhetoric calling for extreme,
|
|
sudden change. I don't want to ban all cars from downtown Seattle, because
|
|
that's not realistic. I want to focus on immediate steps forward. I want to
|
|
come up with estimates about impacting drivers by a median 3 minutes in order
|
|
to save a bus route 1 minute, and to shift public discourse towards that.</p>
|
|
</li>
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</ul>
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