Title :
Quantifying benefits of traffic information provision under stochastic demand and capacity conditions: A multi-day traffic equilibrium approach
Author :
Li, Mingxin ; Zhou, Xuesong ; Rouphail, Nagui M.
Author_Institution :
Dept. of Civil & Environ. Eng., Univ. of Utah, Salt Lake City, UT, USA
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.
Keywords :
optimisation; traffic information systems; gap function based optimization model; multiday traffic equilibrium approach; stochastic road capacity; stochastic traffic demand; stochastic user equilibrium modeling framework; traffic information provision strategy; traveler information provision strategy; Indexes; Knowledge engineering; Mathematical model; Reliability; Roads; Stochastic processes; Vehicles; Stochastic demand; stochastic road capacity; stochastic user-equilibrium assignment; travel time variability;
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4577-2198-4
DOI :
10.1109/ITSC.2011.6082843