考虑距离因素的多方式交通超级网络均衡配流模型及算法

Equilibrium assignment model and algorithm for multi-modal traffic super network considering distance factor

考虑了出行距离对出行者不同感知费用的影响,提出了一种考虑距离因素的多方式用户平衡配流方法。对出行者在多方式交通系统中的出行行为进行了分析,基于图论构建了用于描述一般出行过程的多方式超网络模型,并定义了有效超路径和子路径。针对出行者在不同出行过程中时间和花费这两个主要定量因素的计算方法,同时考虑了出行距离对出行者感知费用的影响机制,构建了考虑距离因素的出行广义费用函数。在此基础上,提出了基于用户平衡准则的多方式交通网络配流模型,并提出了基于子路径费用的最短超路径搜索算法。最后用一个简单算例对模型进行了验证,结果表明本文所提出的模型及算法可行有效。

In the multimodal transportation system,travel distance is an important factor that influences the traffic mode choice and route choice. Thus considering the influences that travel distance exerted on different perceived costs,a multimodal user equilibrium assignment method was proposed in this paper. Firstly,travel behaviors of travelers in the multimodal transportation system were analyzed. Based on the graph theory,a multimodal super-network model for describing general trip process was constructed,besides the effective hyper-path and the sub-path was defined.Secondly,the calculation methods of two main quantitative factors including time and cost in different travel processes were analyzed,and the generalized cost functions of travel were constructed considering the impacts that travel distance exerted on the perceived costs of travelers. Based on these,a multimodal traffic network assignment model based on user equilibrium criterion was proposed,and a shortest path search algorithm based on sub-path cost was proposed. Finally,a simple example was applied to validate the model. The results show that the proposed model and algorithm are feasible and effective.