Quantifying benefits of traffic information provision under stochastic demand and capacity conditions: A multi-day traffic equilibrium approach

Mingxin Li, Xuesong Zhou, Nagui M. Rouphail

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

This paper aims to systematically evaluate benefits of traveler information provision strategies in a realistic environment with stochastic traffic demand, stochastic road capacity, and different degrees of traveler knowledge and traffic information provision quality. Based on a stochastic user equilibrium modeling framework, the proposed model uses a multi-day representation scheme to describe stochastic samples of uncertain demand and capacity supply, as well as day-dependent travel time. A gap-function based optimization model is further developed to find equilibrium solutions.

Original languageEnglish (US)
Title of host publication2011 14th International IEEE Conference on Intelligent Transportation Systems, ITSC 2011
Pages2118-2123
Number of pages6
DOIs
StatePublished - Dec 22 2011
Event14th IEEE International Intelligent Transportation Systems Conference, ITSC 2011 - Washington, DC, United States
Duration: Oct 5 2011Oct 7 2011

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Other

Other14th IEEE International Intelligent Transportation Systems Conference, ITSC 2011
CountryUnited States
CityWashington, DC
Period10/5/1110/7/11

    Fingerprint

Keywords

  • Stochastic demand
  • stochastic road capacity
  • stochastic user-equilibrium assignment
  • travel time variability

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

Cite this

Li, M., Zhou, X., & Rouphail, N. M. (2011). Quantifying benefits of traffic information provision under stochastic demand and capacity conditions: A multi-day traffic equilibrium approach. In 2011 14th International IEEE Conference on Intelligent Transportation Systems, ITSC 2011 (pp. 2118-2123). [6082843] (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). https://doi.org/10.1109/ITSC.2011.6082843