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Identifying the Impacted Area of Congestion Charging Based on Cumulative Prospect Theory

机译：基于累积前景理论识别拥堵收费的受影响区域

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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.
机译：需要开发精确的定量框架，以通过拥挤充电识别道路网络的受影响的区域。在本文中，构造了一种框架，包括基于CPT作为基础的业务网络建模并基于定义交通影响阈值提出识别方法。为了在拥塞充电下进行网络网络性能，基于广义旅行成本设定具有改进参考点的路径选择模型，采用基于CPT的随机用户平衡模型。选择两种指示器，总行程时间的变化和饱和度增加，作为识别方法的确定参数。最后，案例研究表明可以定量识别撞击区域。本文提出了一种新的思路和定量方法来分析交通管理政策的受影响领域。

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