Traffic Incident Recovery Time Prediction Model Based on Cell Transmission Model

摘要

Effective incident management and traffic controlmeasurements require a full understanding of the characteristicsof incidents to accurately estimate incident durations and tohelp make more efficient decisions to reduce the impacts ofnon recurring congestion due to these accidents. The Incidentduration includes four parts: detection time, response time,clearance time and recovery time. Many of the research didnot take the recovery time into consideration. However, recoverytime can not be neglected because it often accounts for largerproportion of the duration time especially in the city freeways.This paper develops a recovery model based on CTM, whichhas analytical simplicity and the ability to reproduce the trafficbehavioral. By comparing with the real data which is collectedfrom elevated freeways in Shanghai city, the simulation resultsshow that this recovery time prediction model based on CTMhas a higher accuracy.