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Incorporating Freeway Performance Measures into Real-Time Crash Prediction

Oct. 2016 - May 2018
PI: Yao-Jan Wu, Ph.D., P.E.
PM: Vahid Goftar, P.E.
The main objective of this project is to incorporate freeway performance measures into real-time crash prediction. With predicated crash information, traffic engineers can develop countermeasures that could alleviate crash risk or possibly avoid a crash. To fully automate the process of crash prediction, a standalone computer program tool was developed to predict the risk of crashes for all freeway segments in the Phoenix area in real-time. A performance measurement system was also developed to calculate and store the safety related performance measures, covering mobility, freight, and incident management.
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