Accident prediction models for signalized and unsignalized intersections : addendum.

The Institute of Transportation Studies at the University of Berkeley has developed accident prediction models for signalized and unsignalized intersections for the state of California's Highway System. These prediction models are based on the Traffic Accident Surveillance and Analysis System (TASAS) as the data base, and the Classification and Regression Trees (CART) for data regression to predict accidents for the approximate 2,500 signalized and 17,000 unsignalized intersections under CALTRAN's jurisdiction. The procedures employed to develop these prediction models are thoroughly discussed in the final project reports of both projects. This document serves as an addendum to these final reports and presents several applications of the accident prediction model.