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

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2011, Pages 2118-2123

  Li, Mingxin ^a   Zhou, Xuesong ^a   Rouphail, Nagui M ^b  

^a University of Utah   (United States)

^b North Carolina State University   (United States)

Author keywords

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

Indexed keywords

EQUILIBRIUM SOLUTIONS; INFORMATION PROVISION; OPTIMIZATION MODELS; REALISTIC ENVIRONMENTS; REPRESENTATION SCHEMES; ROAD CAPACITY; STOCHASTIC DEMAND; STOCHASTIC ROAD CAPACITY; STOCHASTIC TRAFFIC; STOCHASTIC USER EQUILIBRIUM; STOCHASTIC USER-EQUILIBRIUM ASSIGNMENT; TRAFFIC EQUILIBRIUM; TRAFFIC INFORMATION; TRAVEL TIME; UNCERTAIN DEMAND;

ADVANCED TRAVELER INFORMATION SYSTEMS; INTELLIGENT SYSTEMS; ROADS AND STREETS; STOCHASTIC SYSTEMS; STREET TRAFFIC CONTROL;

STOCHASTIC MODELS;

EID: 83755229188     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2011.6082843     Document Type: Conference Paper

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