具有可变信息标志和内生用户顺应性的日间动态交通分配模型
Day-to-day dynamic traffic assignment model with variable message signs and endogenous user compliance
摘要：
本文提出了一个双时间尺度，每天到一天的动态交通分配模型，考虑到可变信息标志（VMS）和它的相互作用与驾驶员的出行选择和自适应学习过程。一天之内的动态捕获的动态网络负载问题与途中更新的路径选择的VMS的影响，一天到一天的动态捕获的同时路线和出发时间的调整过程，采用有限的用户理性。此外，我们描述的VMS遵守率的演变建模驾驶员的学习过程。我们将交通动态、路线和出发时间选择、行程延误和VMS合规性内生化，从而以整体方式捕捉它们的相互作用和相互依赖性。在格拉斯哥的西端进行的案例研究，以了解VMS对道路拥堵和路线选择在短期和长期的影响。我们的主要研究结果包括VMS对网络性能的不利影响，从长远来看（“反弹”效应），并存在一个平衡态，流量和VMS的合规性是稳定的。
英文摘要：
This paper proposes a dual-time-scale, day-to-day dynamic traffic assignment model that takes into account variable message signs (VMS) and its interactions with drivers' travel choices and adaptive learning processes. The within-day dynamic is captured by a dynamic network loading problem with en route update of path choices influenced by the VMS; the day-to-day dynamic is captured by a simultaneous route-and-departure-time adjustment process that employs bounded user rationality. Moreover, we describe the evolution of the VMS compliance rate by modeling drivers' learning processes. We endogenize traffic dynamics, route and departure time choices, travel delays, and VMS compliance, and thereby captur their interactions and interdependencies in a holistic manner. A case study in the west end of Glasgow is carried out to understand the impact of VMS has on road congestion and route choices in both the short and long run. Our main findings include an adverse effect of the VMS on the network performance in the long run (the 'rebound' effect), and existence of an equilibrium state where both traffic and VMS compliance are stabilized.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
