Route Choice Behavior Model with Guidance Information |
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Authors: | Feng GAO Mingzhe WANG |
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Institution: | a Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China |
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Abstract: | Using modeling and simulation methods, the driver's route choice behavior under guidance information is explored based on the combination of the decision field theory (DFT) and Bayesian theory. First, based on the Bayesian theory, a road condition dynamic updating model is presented in light of the guidance information and the driver's previous travel experiences. Then, the route choice behavior model under guidance information is formed by the fusion of the process-oriented vehicle dynamic route choice model and the road condition dynamic updating model. The developed model describes a driver's propensity to comply with received guidance information in terms of the interaction between perceived unreliability of the information, his previous travel experiences, preference for different road alternatives, decision-making speed/quality, and route selection criteria. The simulation results show that the combination of the DFT and Bayesian theory can effectively explain the driver's travel dynamics behavior. |
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Keywords: | urban traffic driver's route choice behavior decision field theory bayesian theory guidance information |
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