Stochastic Traffic Assignment Considering Road Guidance Information

A Logit-based stochastic traffic assignment method considering the acceptance of traffic information is proposed to evaluate the impact of road guidance information on flow patterns. Travelers are divided into two groups by market penetration, namely, one group following the guidance information and the other choosing routes normally for which a Logit-style choice model is applied. A mixed stochastic network loading algorithm according to the mixed behavior is proposed, and the method of successive average (MSA) is then employed to assign traffic in congested network. The numerical examples show that proper information can improve network performance and there exists a best market penetration for given OD. It is found that the best market penetration increases when traffic demand becomes higher, and overall network time can be reduced even more by adding guidance properly.

摘要提出考虑信息接收程度的Logit型随机交通分配方法，来计算道路指引信息发布下路网交通的重分配。出行者被划分成两类，一类根据信息的指引出行，另一类则以Logit型的随机方式进行路径选择；利用道路指引信息的市场占有率的概念，给出这两种出行行为共存下的网络加载算法，并运用逐次平均法实现了拥挤网络中的交通分配。数值试验结果表明，发布良好的道路指引信息有助于提高路网运行效率；对拥挤网络中的给定OD，存在一个最佳的占有率，并随着交通需求的增加而增加；在合理的占有率下，增加信息指引路段可有效降低路网运行时间。