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考虑出行者路径选择过程中的有限理性和参考点依赖,以基于累积前景理论的路径选择决策规则为基础,建立随机网络用户均衡及其等价的变分不等式模型,力图展示现实中的交通流分布形态.提出了求解模型的算法,并通过简单的算例对模型和算法的合理性进行验证.考虑到日常出行路径选择是一个重复的学习与更新过程,通过模型描述出行者路径选择过程中的学习、选择和更新行为,进一步建立基于累积前景理论的动态交通系统,最后通过算例说明动态交通系统演化到用户均衡的过程.
Considering the bounded rationality and reference point dependency in the path selection process of travelers, this paper establishes a stochastic network equilibrium and its equivalent variational inequality model based on the path selection decision rules based on cumulative foreground theory, trying hard to show the actual traffic flow The distribution pattern of the model is proposed.The algorithm to solve the model is proposed and the rationality of the model and algorithm is verified through a simple example.Considering that daily travel route selection is a repetitive learning and updating process and the model is used to describe the route selection process Learning, selecting and updating behaviors, and further establishing a dynamic traffic system based on cumulative foreground theory. Finally, an example is given to illustrate the evolution of dynamic traffic system to user equilibrium.