多类型信息下的网络交通流演化模型

交通信息发布机构提供描述信息和规范信息给不同的出行者,描述信息接收者依据信息和经验更新路径行程时间认知,根据认知选择路径;规范信息接收者仅根据经验更新认知.规范信息遵从者选择推荐路径,非遵从者依据认知选择路径.两类信息遵从率都取决于信息准确度.依据非线性动力学理论分析了模型性质,研究表明,模型不动点存在但是不一定唯一,不动点状态与信息混合使用情况有关.数值试验结果表明,模型不动点与随机用户均衡点不同,以恰当比例混合使用两类信息可提高交通流稳定性.

Day-to-day Traffic Assignment Model with Multiple Types of Information

Traffic agency provides descriptive and prescriptive information to travelers. Descriptive information receivers update perceived travel times based on experience and information and choose route based on their perception. Prescriptive information receivers update perceived travel times based on experience. Prescriptive information compliant travelers choose the recommended route to travel while non- compliant travelers choose route based on their perception. The compliance rate depends on information accuracy. Based on nonlinear dynamics, we get that the fixed-point of the model exists, but its uniqueness is not guaranteed. The states of these fixed-pointsare associated with information mixed conditions.Numerical experiments verify that these fixed-points are different from stochastic user equilibrium and mixed information with an appropriate proportion can improve the stability of traffic flows.