基于活动的交通拥挤网络随机平衡分析

出行者为了在有限的时间内参与既定活动，并使参与活动的整个过程效用最 大化，倾向将多个目的的出行以链结方式进行，以减少出行时间.针对传统的网络配流模 型是基于单次出行的方法，在进行网络配流时，活动链各环节被单独分开，难以反映出行 者的出行选择行为.本文构造了一种基于活动的城市交通网络平衡分析方法，结合随机效 用理论，以活动链方式进行网络配流，使配流模型更符合出行者的实际选择行为.并将该 模型运用于道路拥挤收费策略的制定，克服了基于出行的网络平衡配流模型的一些缺点. 最后，通过一个算例对模型和算法进行验证.

Stochastic User Equilibrium Analysis on Activity-based Transportation Network

To participate in planned activities within the limited time budget and to maximize the total utili- ty, the urban travelers tend to link trips into trip-chaining to reduce travel time. Traditional urban transporta- tion network equilibrium model is one trip-based approach, where trip-chaining made by user are regarded as independence and separation in the network trip assignment incorporating the random utility theory. This pa- per puts forward an activity- based trip- chaining network equilibrium analysis model. Trip assignment pro- cess by trip-chaining and the assignment more accord with the behavior of travelers. Additionally, the model can be employed in roadway congestion charge strategy, where some demerits of traditional model and the four step model are overcome. This paper also gives a case to expound the solution method of activity-based trip-chaining network equilibrium model, and the conclusion is compared to the traditional trip-based model.