Transportation planning and traffic simulation software for creating cities friendlier to walking, biking, and public transit
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A/B Street

Ever been stuck in traffic on a bus, wondering why is there legal street parking instead of a dedicated bus lane? A/B Street is a game exploring how small changes to a city affect the movement of drivers, cyclists, transit users, and pedestrians. It works anywhere in the world, thanks to OpenStreetMap.

Show, don't tell

Alpha release trailer

Find a problem:

exploring_traffic

Make some changes:

editing_map

Measure the effects:

evaluating_impacts

Documentation

Roadmap and contributing

See the roadmap for current work, including ways to help. If you want to bring this to your city or if you're skilled in design, traffic simulation, data visualization, or civic/government outreach, please contact Dustin Carlino at dabreegster@gmail.com. Follow r/abstreet for weekly updates or @CarlinoDustin for occasional videos of recent progress.

Project mission

If you fix some traffic problem while playing A/B Street, my ultimate goal is for your changes to become a real proposal for adjusting Seattle's infrastructure. A/B Street is of course a game, using a simplified approach to traffic modeling, so city governments still have to evaluate proposals using their existing methods. A/B Street is intended as a conversation starter and tool to communicate ideas with interactive visualizations.

Why not leave city planning to professionals? People are local experts on the small slice of the city they interact with daily -- the one left turn lane that always backs up or a certain set of poorly timed walk signals. Laura Adler writes:

"Only with simple, accessible simulation programs can citizens become active generators of their own urban visions, not just passive recipients of options laid out by government officials."

Existing urban planning software is either proprietary or hard to use. A/B Street strives to be highly accessible, by being a fun, engaging game. See here for more guiding principles.

Credits

Core team:

Others:

Data: