Traffic Assignment Model Based on Cumulative Prospect Theory for Stochastic Road Network with Heterogeneous Users
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摘要: 针对出行者择路行为的有限理性和风险取向的差异性,将出行者分为4类:分别以可靠度低于50%的出行时间预算、期望出行时间、可靠度高于50%的出行时间预算和超预算期望出行时间作为选择路径的参考点.推导了需求服从对数正态分布、路段通行能力服从均匀分布条件下各类出行者的前景值计算公式,建立了用等价变分不等式表示的均衡模型.算例结果表明,累积前景理论参数设置对配流具有重要影响,随着收益敏感系数的增大,各类出行者的路径前景均呈增大趋势,且第3、4类出行者比第1、2类出行者变化更显著;随着损失敏感系数和损失规避系数的增大,各类出行者的路径前景均呈减少趋势,且第1、2类出行者比第3、4类出行者变化更显著;随着感知概率系数的增大,第1、2类出行者的路径前景呈减小趋势,而第3、4类出行者的路径前景呈增大趋势.Abstract: Due to travelers' bounded rationality and their differences of risk taking behaviors in route choice, the travelers were divided into four types, who respectively adopted travel time budget (travel time reliability being less than 50%), expected travel time, travel time budget (travel time reliability being more than 50%), and mean-excess travel time as their reference point for route choice. The calculation formulas of the prospect value for four types of travelers when the traffic demand follows a log-normal distribution and the link capacity follows a uniform distribution were derived, and a user equilibrium model was built and formulated as an equivalent variational inequality. The experimental results show that the parameter setting of cumulative prospect theory would have a great impact on the traffic assignment. Specifically, the route prospects of all types of travelers tend to increase with an increase in the gain sensitivity coefficient, and the change of the third and fourth types of travelers is more significant than that of the first and second types of travelers; the route prospects of all types of travelers tend to decrease with an increase in the loss sensitivity coefficient and the loss aversion coefficient, and the change of the first and second types of travelers is more significant than that of the third and fourth types of travelers; as the perception probability coefficient increases, the route prospects of the first and second types of travelers tend to decrease but that of the third and fourth types of travelers tend to increase.
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SIU B W Y, LO H K. Doubly uncertain transportation network: degradable capacity and stochastic demand [J]. European Journal of Operational Research, 2008, 191(1): 166-181. 刘海旭,蒲云. 基于行程质量的随机用户平衡分配模型 [J]. 中国公路学报,2004,17(4): 93-95,118. LIU Haixu, PU Yun. Stochastic user equilibrium assignment model based on travel trait [J]. China Journal of Highway and Transport, 2004, 17(4): 93-95, 118. LO H K, LUO X W, SIU B W Y. Degradable transport network: travel time budget of travelers with heterogeneous risk aversion [J]. Transportation Research Part B, 2006, 40(9): 792-806. CHEN A, ZHOU Z. The -reliable mean-excess traffic equilibrium model with stochastic travel times [J]. Transportation Research Part B, 2010, 44(4): 493-513. 吕彪,蒲云,刘海旭. 供需不确定条件下的预算-超额用户平衡模型 [J]. 中国公路学报,2012,25(2): 113-120. L Biao, PU Yun, LIU Haixu. Budget-excess user equilibrium model under uncertain supply and uncertain demand [J]. China Journal of Highway and Transport, 2012, 25(2): 113-120. 吕彪,蒲云,刘海旭. 多用户类型弹性需求随机期望-超额用户平衡模型 [J]. 西南交通大学学报,2012,47(3): 516-525. L Biao, PU Yun, LIU Haixu. Stochastic mean-excess user equilibrium model with multiple classes and elastic demand [J]. Journal of Southwest Jiaotong University, 2012, 47(3): 516-525. AVINERI E, PRASHKER J N. Sensitivity to travel time variability: travelers' learning perspective [J]. Transportation Research Part C, 2005, 13(2): 157-183. CONNORS R D, SUMALEE A. A network equilibrium model with travelers' perception of stochastic travel times [J]. Transportation Research Part B, 2009, 43(6): 614-624. 王伟,孙会君. 基于内生参考点的交通网络均衡模型 [J]. 应用数学和力学,2013,34(2): 190-198. WANG Wei, SUN Huijun. Traffic network equilibrium model based on endogenous reference point [J]. Applied Mathematics Mechanics, 2013, 34(2): 190-198. XU H L, LOU Y Y, YIN Y F, et al. A prospect-based user equilibrium model with endogenous reference points and its application in congestion pricing [J]. Transportation Research Part B, 2011, 45(2): 311-328. 张波,隽志才,林徐勋. 基于累积前景理论的随机用户均衡交通分配模型 [J]. 西南交通大学学报,2011,46(5): 868-874. ZHANG Bo, JUAN Zhicai, LIN Xuxun. Stochastic user equilibrium model based on cumulative prospect [J]. Journal of Southwest Jiaotong University, 2011, 46(5): 868-874. 王倩,周晶,徐薇. 基于累积前景理论考虑路网通行能力退化的用户均衡模型 [J]. 系统工程:理论与实践,2013,33(6): 1563-1569. WANG Qian, ZHOU Jing, XU Wei. A user equilibrium model based on the cumulative prospect theory for a degradable transport network [J]. Systems Engineering: Theory and Practice, 2013, 33(6): 1563-1569. 史峰,罗端高. 降级路网的多类用户均衡分配模型及求解算法 [J]. 交通运输系统工程与信息,2008,8(4): 70-76. SHI Feng, LUO Duangao. Model and solution algorithm for multiclass user equilibrium assignment problem in a degradable road network [J]. Journal of Transportation Systems Engineering and Information Technology, 2008, 8(4): 70-76. FENTON L F. The sum of log-normal probability distributions in scatter transmission systems [J]. IEEE Transactions on Communications Systems, 1960, 8(1): 57-67. 黄海军. 城市交通网络平衡分析:理论与实践 [M]. 北京:人民交通出版社,1994: 179-248. FACCHINEI F, PANG J S. Finite-dimensional variational inequalities and complementarity problems [M]. New York: Springer, 2003: 145-154.
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