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refresh front-page README. still need to take new GIFs
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README.md
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README.md
@ -4,14 +4,66 @@ Ever been on a bus stuck in traffic, wondering why there are cars parked on the
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road instead of a bus lane? A/B Street is a game exploring how small changes to
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a city affect the movement of drivers, cyclists, transit users, and pedestrians.
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- [Game features](docs/articles/features/article.md)
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- [Instructions to run the game](docs/INSTRUCTIONS.md)
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[Play A/B Street on Windows, Mac, Linux](docs/INSTRUCTIONS.md)
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![demo](docs/articles/features/screenshots/demo.gif)
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## Features
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More details [here](docs/articles/features/article.md).
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- The map
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- A detailed rendering of Seattle from OpenStreetMap and King County GIS data,
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including sidewalks, on-street parking, bike lanes, bus-only lanes, turn
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lanes, buildings, and bus stops.
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- Intersections governed by stop signs and traffic signals, with default
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signal timings heuristically inferred. Hand-tuned geometry to reasonably
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model Seattle's strangest intersections.
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- You can adjust lane types, stop signs, and traffic signals.
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- The traffic
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- Individual cars, buses, bikes, and pedestrians move through the map.
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- Most trips are multi-modal -- for example, a pedestrian exits a building,
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walks a few blocks over to their parked car, drives somewhere, looks for
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parking, and walks to their final destination.
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- A realistic set of trips -- how many people go from building 1 to building 2
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at some time using some form of transport -- comes from
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[PSRC's Soundcast](https://www.psrc.org/activity-based-travel-model-soundcast)
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model.
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- The gameplay
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- Start in sandbox mode, exploring the map, watching traffic patterns,
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following individual agents, looking for problems.
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- Jump to edit mode, where you can convert some on-street parking to bus lanes
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and adjust traffic signals to try to fix some problem.
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- Try your change in A/B test mode, running two traffic simulations
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side-by-side. Explore how individual agents finish their trips faster or
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slower, and compare aggregate results about different groups of traffic.
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## Project mission
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If you fix some traffic problem while playing A/B Street, my ultimate goal is
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for your changes to become a real proposal for adjusting Seattle's
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infrastructure. A/B Street is of course a game, using a simplified approach to
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traffic modeling, so city governments still have to evaluate proposals using
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their existing methods. A/B Street is intended as a conversation starter and
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tool to communicate ideas with interactive visualizations.
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Why not leave city planning to professionals? People are local experts on the
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small slice of the city they interact with daily -- the one left turn lane that
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always backs up or a certain set of poorly timed walk signals.
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[Laura Adler](http://www.govtech.com/data/SimCities-Can-City-Planning-Mistakes-Be-Avoided-Through-Data-Driven-Simulations.html)
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writes:
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> "Only with simple, accessible simulation programs can citizens become active
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> generators of their own urban visions, not just passive recipients of options
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> laid out by government officials."
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Existing urban planning software is either proprietary or hard to use. A/B
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Street strives set the accessible bar high, by being a fun, engaging game.
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## Contributing
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If you're skilled in user experience design, traffic simulation, data
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visualization, or government outreach, please contact Dustin Carlino at
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I'm a one-person team. If you want to bring this to your city or if you're
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skilled in user experience design, traffic simulation, data visualization, or
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civic/government outreach, please contact Dustin Carlino at
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<dabreegster@gmail.com>. I also welcome any contributions on
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[Patreon](https://www.patreon.com/abstreet).
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@ -69,4 +69,5 @@ A/B Street binary releases contain pre-built maps that combine data from:
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- https://github.com/seattleio/seattle-boundaries-data
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(https://creativecommons.org/publicdomain/zero/1.0/)
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- DejaVuSans.ttf (https://dejavu-fonts.github.io/License.html)
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- Puget Sound Regional Council (https://www.psrc.org/activity-based-travel-model-soundcast)
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- Puget Sound Regional Council
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(https://www.psrc.org/activity-based-travel-model-soundcast)
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