Reducing congestion through data-driven experiments
Boston, Mass., U.S.A.

Boston used Waze data to evaluate the impact of mobility experiments and institute operational and regulatory changes to optimize traffic flow. Using Waze-detected traffic jam data, the city identified problematic intersections within the Seaport District, analyzed signal timing, experimented with timing adjustments, and measured the impact.

Boston additionally created a heat-map of Waze “car on shoulder” reports to identify the areas of the city most prone to double-parking. To attempt to alleviate associated congestion, the city dispatched a team of bike officers to remind vehicles to “move-along.”.

Impact: 18% month-over-month reduction in congestion at key intersections

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