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Understanding And Modeling Drivers’ En-Route Diversion Behavior During Congestion, Mohammad Shapouri
Understanding And Modeling Drivers’ En-Route Diversion Behavior During Congestion, Mohammad Shapouri
LSU Doctoral Dissertations
In the field of transportation, traffic assignment models primarily have been used to forecast driver route preferences, translating their choices into traffic flow patterns across networks. These models are grounded in distinct behavioral theories and strive to explain how drivers navigate routes based on network features and personal tendencies. Using an aggregation approach, conventional traffic assignment models distribute demand among paths, considering utility and attractiveness. Despite their prevalent use in transportation planning and operations, the fundamental behavioral assumptions of these models have rarely been thoroughly explored. This gap is further compounded by their limited consideration of real-time adjustments and choices …
Understanding And Modeling Drivers’ En-Route Diversion Behavior During Congestion, Mohammad Shapouri
Understanding And Modeling Drivers’ En-Route Diversion Behavior During Congestion, Mohammad Shapouri
LSU Doctoral Dissertations
In the field of transportation, traffic assignment models primarily have been used to forecast driver route preferences, translating their choices into traffic flow patterns across networks. These models are grounded in distinct behavioral theories and strive to explain how drivers navigate routes based on network features and personal tendencies. Using an aggregation approach, conventional traffic assignment models distribute demand among paths, considering utility and attractiveness. Despite their prevalent use in transportation planning and operations, the fundamental behavioral assumptions of these models have rarely been thoroughly explored. This gap is further compounded by their limited consideration of real-time adjustments and choices …