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Review of the simulation model of driving behavior

by Xiao Yuan Wang, Xin Yue Yang, Gang Shan, Feng Qun Wang
Proceedings of the 2006 International Conference on Machine Learning and Cybernetics ()

Abstract

Study of driving behavior is the important content of the intelligent transportation systems and the theoretic basis of the microscopic traffic flow simulation. In the past, the research concerning to driving behavior mainly focused on the car-following process. From the view of the behavior analysis, the car-following models concerning to the human factors based on cybernetics are reviewed in this paper, such as the GHR model, the collision avoidance model, the AP model, the fuzzy logic model, the neural network model, and the desired headway model, and so on. During the establishment, the advantage and the disadvantage are discussed in detail. Some important questions used to characterize the driving behavior, which are usually ignored in the establishment process of the models, are also revealed. With the latest research of the modern traffic field, the development tendency of the driving behavior simulation models in the future is forecasted from the specialization of the application field, the diversification of the study means and the practicability of the model establishment

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