Operations and Supply Chain Management Commons^™

Traffic Density On Corridors Subject To Incidents: Models For Long-Term Congestion Management, Pedro Cesar Lopes Gerum, Andrew Reed Benton, Melike Baykal-Gürsoy

Supply Chain Management

The purpose of this research is to provide a faster and more efficient method to determine traffic density behavior for long-term congestion management using minimal statistical information. Applications include road work, road improvements, and route choice. To this end, this paper adapts and generalizes two analytical models (for non-peak and peak hours) for the probability mass function of traffic density for a major highway. It then validates the model against real data. The studied corridor has a total of 36 sensors, 18 in each direction, and the traffic experiences randomly occurring service deterioration due to accidents and inclement weather such …