BACKGROUND

The {City} Intersection Crash Mitigation Program draws inspiration from successful initiatives taken by other groups to improve intersection safety for cities across the world. This program is designed to systematically identify and address intersections with the highest number of crashes. 

This project is rooted in the principles of the Vision Zero Network, an international strategy aimed at eliminating all traffic fatalities and severe injuries while increasing safe, healthy, and equitable mobility for all. Vision Zero recognizes that traffic deaths and severe injuries are preventable and strives to create a transportation system where mistakes do not result in severe consequences. 

Using this data, we're hoping students and professionals alike can implement targeted interventions for safer streets with whichever method works strongest for them. 

cad / gis deliverables 

In ArcGIS Pro, Python scripting creates feature classes visualizing the top 10 crash-prone intersections from 2012-2023. These visuals help identify high-risk areas. Users can then analyze them further, overlaying data like traffic volume or demographics to understand underlying causes. These feature classes can also be used in AutoCAD for design and visualization, allowing for seamless integration into various workflows. With Python scripting, the process becomes more efficient, enabling data-driven decisions for safer streets.

ASSOCIATED CHARTS deliverables

Bar and pie charts are generated for each intersection, depicting crashes by day, crashes by hour, distribution of crash types, party class involved, lighting conditions, and weather conditions. This data complements CAD/GIS deliverables and offers flexibility for user preferences. Whether it's for design, analysis, or decision-making, the data is readily available.