Effectiveness of Real-Time Information Strategies in Situations of Non-Recurrent Congestion

by Srinivas Peeta, Univ of Texas at Austin, Austin, United States,
Hani S. Mahmassani, Univ of Texas at Austin, Austin, United States,
Richard Rothery, Univ of Texas at Austin, Austin, United States,
Robert Herman, Univ of Texas at Austin, Austin, United States,



Document Type: Proceeding Paper

Part of: Applications of Advanced Technologies in Transportation Engineering

Abstract:

The effect of real-time information on the performance of a traffic commuting corridor in situations of non-recurrent congestion is studied using a dynamic simulation model. Non-recurrent congestion refers to situations resulting from a temporary reduction in the capacity of a section of a highway due to accidents, repairwork or construction. Simulation experiments are performed using four experimental factors- location of the incident, duration of the incident market penetration(fraction of users with access to real-time information), and user behavioral rules- to study the overall system performance. The results illustrate the interactions between the various experimental factors and provide insights into possible control and diversion strategies.

Subject Headings: Traffic models | Traffic congestion | Information systems | Dynamic models | Traffic accidents | Simulation models | Computer models

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