Dynamic network models are needed to analyze traffic congestion patterns for new real-time motorist information systems. A dynamic network modeling framework incorporating behavioral models of drivers' route and departure time choices and their day-to-day adjustment processes is extended to include explicit models of drivers' information acquisition and integration. The need for these models is motivated by considering the possible beneficial and counter-productive effects that may be caused by enhanced motorist information. The report presents the structure of a dynamic model in which newly acquired information may affect pre-trip and en-route travel decisions.
Analysis of Traffic Congestion and Motorist Information Systems
1991
44 pages
Report
No indication
English
Road Transportation , Information Systems , Transportation & Traffic Planning , Transportation , Traffic congestion , Information system design , Information systems , Data transmission , Information modeling , Systems engineering , Driver behavior , Mathematical models , Real time operation , Transportation models , Decision making , Motorist information systems
Traffic Control and Motorist Information
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