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

doi:10.1109/ITSC.2011.6082843

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 proceeding › Conference contribution

11 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 language	English (US)
Title of host publication	2011 14th International IEEE Conference on Intelligent Transportation Systems, ITSC 2011
Pages	2118-2123
Number of pages	6
DOIs	https://doi.org/10.1109/ITSC.2011.6082843
State	Published - Dec 22 2011
Externally published	Yes
Event	14th IEEE International Intelligent Transportation Systems Conference, ITSC 2011 - Washington, DC, United States Duration: Oct 5 2011 → Oct 7 2011

Publication series

Name	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Other

Other	14th IEEE International Intelligent Transportation Systems Conference, ITSC 2011
Country/Territory	United States
City	Washington, DC
Period	10/5/11 → 10/7/11

Keywords

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

ASJC Scopus subject areas

Automotive Engineering
Mechanical Engineering
Computer Science Applications

Access to Document

10.1109/ITSC.2011.6082843

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). Article 6082843 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). https://doi.org/10.1109/ITSC.2011.6082843

Quantifying benefits of traffic information provision under stochastic demand and capacity conditions: A multi-day traffic equilibrium approach. / Li, Mingxin; Zhou, Xuesong; Rouphail, Nagui M.
2011 14th International IEEE Conference on Intelligent Transportation Systems, ITSC 2011. 2011. p. 2118-2123 6082843 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Li, M, Zhou, X & Rouphail, NM 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., 6082843, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 2118-2123, 14th IEEE International Intelligent Transportation Systems Conference, ITSC 2011, Washington, DC, United States, 10/5/11. https://doi.org/10.1109/ITSC.2011.6082843

Li M, Zhou X, Rouphail NM. 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. 2011. p. 2118-2123. 6082843. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). doi: 10.1109/ITSC.2011.6082843

Li, Mingxin ; Zhou, Xuesong ; Rouphail, Nagui M. / Quantifying benefits of traffic information provision under stochastic demand and capacity conditions : A multi-day traffic equilibrium approach. 2011 14th International IEEE Conference on Intelligent Transportation Systems, ITSC 2011. 2011. pp. 2118-2123 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

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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.",

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

Abstract

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Keywords

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