Intersection-level traffic flow information across the city is foundational for evaluating the effectiveness of any transportation policies that aim to minimize congestion, improving traffic flow, and improving pedestrian and non-motorized vehicle safety.  Currently, analysing how traffic flows through intersections of the city relies on manual traffic counts and short-duration video analysis done at selected intersections leading to sparse data coverage both in space and time, limiting the visibility of how changes to the traffic flow can impact how pedestrians, motorists, and non-motorized vehicles use the city’s thoroughfare. 

The goal of this project is to help the city improve traffic conditions for pedestrians and motorized & non-motorized vehicles across the city by enabling rigorous evaluation of transportation policies through the use of higher-frequency and more fine-grain data (from traffic cameras)_.