工业工程 ›› 2024, Vol. 27 ›› Issue (1): 104-111.doi: 10.3969/j.issn.1007-7375.230035

• 系统建模与优化 • 上一篇    下一篇

随机用户均衡准动态交通分配模型

赵传林, 齐琪, 贺少松, 孙阳琪   

  1. 北京建筑大学 土木与交通工程学院,北京 102616
  • 收稿日期:2023-03-03 发布日期:2024-03-05
  • 作者简介:赵传林 (1987—),男,山东省人,副教授,博士,主要研究方向为交通运输规划与管理
  • 基金资助:
    国家自然科学基金资助项目 (71971014);北京市教委科技计划资助项目 (KM202010016007);北京建筑大学金字塔人才培养工程资助项目 (JDJQ20200301);北京建筑大学研究生创新资助项目 (PG2023051,PG2023052)

A Quasi-dynamic Traffic Assignment Model with Stochastic User Equilibrium

ZHAO Chuanlin, QI Qi, HE Shaosong, SUN Yangqi   

  1. School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 102616, China
  • Received:2023-03-03 Published:2024-03-05

摘要: 动态交通分配问题是交通科学研究的热点和难点,将动态交通分配方法应用于大规模网络往往产生过高的计算成本。通过研究准动态交通分配问题,降低动态交通分配中时间的连续性和动态交通分配模型的复杂性。采用路段行程时间计算公式定义一种新的剩余交通需求计算方法;然后考虑剩余交通需求在时段之间的传播过程和出行者对路网的熟悉程度差异,建立基于Logit的随机用户均衡准动态交通分配模型,基于逐次平均法设计模型的求解算法。最后通过Braess网络和九节点网络说明模型的应用情况,并分析模型参数的敏感度,验证模型的合理性与算法的有效性。本研究丰富了交通科学基础理论,为交通政策的制定提供参考依据。

关键词: 城市交通, 准动态交通分配, 随机用户均衡, 剩余交通需求, 路段行程时间

Abstract: Dynamic traffic assignment is a hot topic and difficult issue in the transportation research field, where the application of dynamic traffic assignment methods to large-scale networks often results in high computation costs. By studying the quasi-dynamic traffic assignment problem, the time continuity of dynamic traffic assignment and the complexity of corresponding models can be reduced. A new calculation method of residual traffic demand is defined based on link travel time. Then, considering the propagation of residual traffic demand between time periods and the differences in the familiarity of travelers with the road network, a Logit-based quasi-dynamic traffic assignment model with stochastic user equilibrium is established. An algorithm is designed to solve the model based on the successive average method. Finally, the application of the model is conducted on a Braess network and a nine-node network. The sensitivity analysis of model parameters is carried out to verify the effectiveness of the model and the algorithm. Results enrich the basic theory of the transportation research field and can provide references for transportation policymakers.

Key words: urban traffic, quasi-dynamic traffic assignment, stochastic user equilibrium, residual traffic demand, link travel time

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