Buchumschlag

Dynamic route choice behaviour and simulation-based dynamic traffic assignment model for mixed traffic flows

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Veröffentlicht in:KSCE Journal of Civil Engineering vol. 22, no. 2 (Feb 2018), p. 813
1. Verfasser: Ta-Yin, Hu
Weitere Verfasser: Chee-Chung, Tong, Tsai-Yun, Liao, Li-Wen, Chen
Veröffentlicht:
Springer Nature B.V.
Schlagworte:
Economic
Search process
Traffic information
Computers
Mathematical models
Trip estimation
Traffic assignment
Surveying
Simulation
Traffic models
Route selection
Direction finding
Intelligent transportation systems
Computer simulation
Traffic flow
Thermal analysis
Traffic management
Navigation behavior
Iterative methods
Procedures
Optimization
Traffic control
Communication technology
Flow pattern
Algorithms
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Abstract:Intelligent Transportation Systems (ITS) focus on increasing the efficiency of existing surface transportation systems through the use of advanced computers, electronics, and communication technologies. In order to perform advanced traffic management and provide travel information, dynamic traffic assignment models need to be developed to provide time-dependent estimates of traffic flows on networks in order to efficiently utilize possible advanced traffic information as well as traffic control measures. Traffic assignment distributes Origin-Destination (OD) trips in a network and determines the flow patterns in a traffic network. This research aims at developing simulation-based algorithm for dynamic traffic assignment problems under mixed traffic flow considerations. Four different physical vehicle types are explicitly considered and modeled, including car, bus, motorcycle, and truck. Four different behavioral rules, pre-specified-path driver, user-equilibrium driver, system-optimization driver, and real-time information driver, are considered in the solution procedure. The DTA algorithm consists of an inner loop that incorporates a direction finding mechanism for the search process for System Optimization (SO) and User Equilibrium (UE) classes based on the simulation results of the current iteration, including experienced vehicular trip times and marginal trip times. In order to understand tripmaker acceptance toward route guidance, a survey is conducted to explore possible behavioral classifications and associated percentages. Numerical experiments are conducted in a test network and a real city network to illustrate the capabilities of the simulation-based DTA procedures, and to observe how system performs under multiple user class’s conditions, including multiple user behavior rules and multiple physical vehicle classes.
ISSN:1226-7988
1976-3808
DOI:10.1007/s12205-017-1025-8
Quelle:Engineering Database