Traffic Network Equilibrium Model Based on Endogenous Reference Point
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摘要: 应用累积前景理论研究了随机交通网络中出行者有限理性的路径选择行为,选择期望超额出行时间作为参考点,反映出行者同时考虑出行时间的可靠性和不可靠性,建立了基于累积前景理论的随机网络均衡及其等价的变分不等式模型,运用基于连续平均法的启发式算法求解,并给出算例验证了该模型和算法,最后分析了有限理性的假设和内生的参考点对出行者路径选择行为和随机网络均衡的影响.Abstract: The cumulative prospect theory (CPT) was applied to model travelers’route choice behavior based on bounded rationality in stochastic traffic network. Chosen meanexcess travel time considering both reliability and unreliability aspects of travel time variability as endogenous reference points, a CPT-based network equilibrium model and the equivalent variational inequality formulation were developed. The heuristic algorithm based on the method of successive average was adopted to solve the model. Then, a numerical example was proposed to illustrate the model and the solution algorithm. The effect of bounded rationality and endogenous reference points on such route choice behavior and network equilibrium was presented.
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