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Behavior-consistent real-time traffic routing under information provision

机译:信息提供下行为一致的实时交通路由

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摘要

The problem addressed here involves a controller seeking to enhance traffic network performance via real-time routing information provision to drivers while explicitly accounting for drivers' likely reactions towards the information. A fuzzy control modeling approach is used to determine the associated behavior-consistent information-based network control strategies. Experiments are performed to compare the effectiveness of the behavior-consistent approach with traditional dynamic traffic assignment based approaches for deployment. The results show the importance of incorporating driver behavior realistically in the determination of the information strategies. Significant differences in terms of system travel time savings and compliance to the information strategies can be obtained when the behavior-consistent approach is compared to the traditional approaches. The behavior-consistent approach can provide more robust performance compared to the standard user or system optimal information strategies. Subject to a meaningful estimation of driver behavior, it can ensure system performance improvement. By contrast, approaches that do not seek to simultaneously achieve the objectives of the drivers and the controller can potentially deteriorate system performance because the controller may over-recommend or under-recommend some routes, or recommend routes that are not considered by the drivers.
机译:此处解决的问题涉及到一个控制器,该控制器试图通过向驾驶员提供实时路由信息来增强交通网络的性能,同时明确考虑驾驶员对信息的可能反应。模糊控制建模方法用于确定关联的行为一致的基于信息的网络控制策略。进行实验以比较行为一致方法与基于传统动态流量分配的部署方法的有效性。结果表明,在确定信息策略时,切实考虑驾驶员的行为非常重要。当将行为一致的方法与传统方法进行比较时,可以在节省系统旅行时间和遵守信息策略方面取得显着差异。与标准用户或系统最佳信息策略相比,行为一致的方法可以提供更强大的性能。根据对驾驶员行为的有意义的估计,它可以确保系统性能的提高。相比之下,由于控制器可能过度推荐或不推荐某些路线,或推荐驾驶员未考虑的路线,因此,无法同时达到驾驶员和控制器目标的方法可能会降低系统性能。

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