考虑出行者不同理性程度的拥堵交通流分配方法

Traffic Flow Assignment Method Considering Travelers’Different Rational Degree Under Congestions

为研究出行者感知偏好对交通分配结果的影响,本文构建了微观路径选择模型,提出拥堵条件下受路段通行能力限制的交通分配算法。引入出行者决策过程中的后悔和无差别化阈值,考虑出行时间和排队时间的心理感知差异,构建不同理性程度下的路径选择概率模型。在集计水平上,考虑当前路段及其上下游路段通行能力限制、路段车辆空间排队和溢出,提出路段车流量流入、流出的修正方法。采用增量加载分配方法,研究路段车辆的消散特性,再现了从个体路径决策到宏观路网状态的演化过程。基于Nguyen-Dupuis仿真网络,比较不同算法下各路段的拥堵车辆和各路段车辆流入、流出情况。结果表明:出行者个人偏好感知会显著影响拥堵路段的成本函数,是出行者路径选择的关键因素,但是出行者个人偏好对非拥堵路段的车辆流入、流出影响较小;考虑个体偏好的交通分配方法能降低路网的平均饱和度。本文提出的考虑有限理性的拥堵交通分配方法可应用于拥堵路网的交通诱导,有利于促进道路资源的合理利用。

To investigate the influence of traveler’perceptual preference on traffic assignment results,this paper proposes a microscopic route selection model and a traffic assignment algorithm constrained by road capacity under congested conditions.Travelers’regret and indifference threshold are introduced into the decision-making process.The route selection probability model under different rational degree is developedin consideration of the psychological perception difference of normal travel time and queuing time.At the aggregate level,the inflow and outflow correction method is proposed based on the capacity limitation of the current road and its upstream and downstream sections,as well as the space queue and overflow of vehicles.The incremental traffic loading assignment method is adopted to study vehicles’dissipation characteristics,and the evolution process from individual route decisions to macroscopic road network states is reproduced.Based on the Nguyen-Dupuis simulation network,the traffic congestion and inflowoutflow are compared using different algorithms.The results show that travelers’personal preference perception significantly affect the cost function of congested road sections,but has minimum impact on vehicles’inflow and outflow in non-congested sections.The bounded rationality traffic assignment method considering individual preferences can reduce the average saturation of the road network.The proposed traffic assignment method can be applied to the traffic guidance of the congested road network,which is beneficial to the rational utilization of road resources.