Freeway Incident Likelihood Prediction and Response Decision-Making

Authors

Samer Madanat
Hongyu Pan
Pen-Chi Liu
Hualiang Teng

Recommended Citation

Madanat, S., H. Pan, P. Liu, and H. Teng. Freeway Incident Likelihood Prediction and Response Decision-Making. Publication FHWA/IN/JHRP-96/06. Joint Highway Research Project, Indiana Department of Transportation and Purdue University, West Lafayette, Indiana, 1997. https://doi.org/10.5703/1288284313230

DOI

10.5703/1288284313230

Abstract

This research project consisted of two parts. The first part developed a set of real-time incident likelihood prediction models. The second part developed a freeway incident response decision-making methodology based on sequential hypothesis testing methods. The freeway incident likelihoods predicted by the real-time prediction models act as prior probabilities for the freeway incident response decision-making system. The products of this research project will be incorporated in the Advanced Traffic Management System that is being implemented on the Borman Expressway, a 16-mile segment of I-80 in northwest Indiana. The decision-making system can be used by traffic management personnel to assist in responding to various freeway incidents in a near optimal manner to minimize traffic delays and reduce the number of secondary incidents.

Report Number

FHWA/IN/JHRP-96/06

Keywords

freeway traffic management, incident prediction and response, decision-making system, HPR-2090

SPR Number

2090

Project Number

HPR-2090

File Number

8-9-2

Performing Organization

Joint Highway Research Project

Publisher Place

West Lafayette, IN

Date of this Version

1997