Bayesian network-based formulation and analysis for toll road utilization supported by traffic information provision

Transportation Research Part C: Emerging Technologies

Volumn 60, Issue , 2015, Pages 339-359

  Chen, Cong ^a   Zhang, Guohui ^a   Wang, Hua ^b   Yang, Jinfu ^c   Jin, Peter J ^d   Michael Walton, C ^e  

^a MSC01 1070   (United States)

^b HARBIN INSTITUTE OF TECHNOLOGY   (China)

^c BEIJING UNIVERSITY OF TECHNOLOGY   (China)

^d the state University of New Jersey   (United States)

^e The University of Texas at Austin   (United States)

Author keywords

Bayesian network; Nested logit model; Toll road; Traffic information provision

Indexed keywords

BAYESIAN NETWORKS; COSTS; INFORMATION DISSEMINATION; INFORMATION USE; LOGISTIC REGRESSION; REAL TIME SYSTEMS; ROADS AND STREETS; SURVEYS; TOLL HIGHWAYS; TRAFFIC CONGESTION; TRAVEL TIME;

DEMOGRAPHIC INFORMATION; KNOWLEDGE EXTRACTION; MOST PROBABLE EXPLANATION; NESTED LOGIT MODEL; PROBABILITY INFERENCE; STATED PREFERENCE SURVEYS; TELECOMMUNICATION TECHNOLOGIES; TRAFFIC INFORMATION;

ADVANCED TRAVELER INFORMATION SYSTEMS;

ADVANCED TRAVELER INFORMATION SYSTEM; BAYESIAN ANALYSIS; LOGIT ANALYSIS; ROAD PRICING; TRAFFIC CONGESTION; TRAFFIC MANAGEMENT; TRAVEL BEHAVIOR;

TEXAS; UNITED STATES;

EID: 84943383884     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2015.09.005     Document Type: Article

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