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为准确描述随机路网环境下出行者的择路行为,提出了考虑风险取向差异的混合用户平衡模型。根据风险取向不同,将出行者分为冒险型、中立型、保守型和超保守型,并考虑了出行者对出行时间的估计误差、路网服务水平对需求量的影响及路网拓扑关系等影响配流的关键因素。推导了需求服从对数正态分布、路段通行能力服从贝塔分布条件下,各类出行者出行成本的计算公式,建立了用等价变分不等式表示的平衡模型。研究结果表明:出行者的风险取向对配流结果会产生重要影响;随着需求水平的提高和路段通行能力退化程度的加剧,不同风险取向出行者具有不同择路倾向,冒险型出行者倾向于选择出行时间波动大的路径,中立型出行者选择期望出行时间最小的路径,保守型和超保守型出行者倾向于选择出行时间波动小的路径。
In order to accurately describe the routing behavior of travelers in stochastic road network environment, a hybrid user balancing model considering differences in risk orientation is proposed. According to different risk orientation, travelers are divided into adventurous, neutral, conservative and super-conservative, and consider the travel time estimation error of travelers, the impact of road network service level on demand and road network topological relations The key factors affecting the distribution. The formula for calculating the travel cost of all types of travelers under the condition that the demand obeys the logarithm normal distribution and the section capacity obeys Beta distribution is established, and the equilibrium model represented by equivalent variational inequality is established. The results show that: the risk orientation of travelers has a significant impact on the result of the distribution flow; as the level of demand increases and the degree of degradation of road capacity aggravates, different risk-oriented travelers have different preferences, and adventure-oriented travelers tend to choose Travel time fluctuates widely. Neutral travelers choose the route with the least travel time. Conservative and ultra-conservative travelers tend to choose the route with less fluctuation in travel time.