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Using Automated Enforcement Data to Achieve Vision Zero Goals: A Case Study


Thursday, March 30, 2017

ABSTRACT
In 2015, the District of Columbia framed a Vision Zero mission and action plan, aimed at curbing roadway deaths to zero by 2024. Vision Zero provides a unique opportunity to bring several “traditional” safety programs that were previously developed across transportation modes (such as highway, bicycle, and pedestrian) and agency responsibilities (such as engineering, education, and enforcement). 

The program uses a collaborative approach involving multiple agencies and the users of the transportation systems and makes more effective use of data, education, enforcement, and engineering to derive cross-cutting solutions. 

This paper discusses the salient aspects of DC’s Vision Zero program and action plan. Automated Traffic Enforcement (ATE) features prominently amongst Vision Zero strategies. The paper also performs some preliminary analytics of data derived from the DC’s speed and red light cameras and discusses a framework of how ATE can help DC reach its Vision Zero goals by fine-tuning the program to focus enforcement on areas that need it most.