Abstract
A precise quantitative framework needs to be developed to identify the impacted area of road network by congestion charging. In this paper, a framework is constructed, which includes modeling traffic network based on CPT as a foundation and proposing identifying method on the basis of defining traffic impact threshold. To study the road network performance under congestion charging, a route choice model with an improved reference point is set based on generalized travel cost and a stochastic user equilibrium model based on CPT is adopted. Two indicators, variation of total travel time and the degree of saturation increase, are chosen as determination parameters in identifying method. Finally, a case study shows that the impacted area can be identified quantitatively. This paper puts forward a new thought and quantitative method to analyze the impacted area of traffic management policies.
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This research is funded by the National Natural Science Foundation of China 70901032.
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Luo, Qy., Guan, Xy., Wu, Wj., Jia, Hf. (2019). Identifying the Impacted Area of Congestion Charging Based on Cumulative Prospect Theory. In: Wang, W., Bengler, K., Jiang, X. (eds) Green Intelligent Transportation Systems. GITSS 2017. Lecture Notes in Electrical Engineering, vol 503. Springer, Singapore. https://doi.org/10.1007/978-981-13-0302-9_69
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DOI: https://doi.org/10.1007/978-981-13-0302-9_69
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