网联汽车系统最优交通分配

Weibin Wang, M. Uehara, H. Ozaki
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引用次数: 2

摘要

交通堵塞是城市生活中的一个严重问题。传统的汽车导航系统基于用户均衡(UE)交通分配,驾驶员总是选择最优路线。系统最优(SO)业务分配优于终端业务分配。然而,由于缺乏完整的交通信息,SO很难实现。在不久的将来,几乎所有的汽车都将连接到云。这意味着联网汽车可以收集完整的交通信息。在本文中,我们描述了一种基于so的导航方法。在我们的方法中,云利用收集的交通信息检测SO交通分配。我们还对几个案例进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
System Optimum Traffic Assignment for Connected Cars
Traffic jams are a serious issue in urban life. Conventional car navigation systems are based on user equilibrium (UE) traffic assignment, in which a driver always chooses the best route. System optimal (SO) traffic assignment is better than UE traffic assignment. However, it is difficult to realize SO because of a lack of complete traffic information. In the near future, almost all cars will be connected to the cloud. This means that complete traffic information can be collected by connected cars. In this paper, we describe an SO-based navigation method. In our method, the cloud detects SO traffic assignment using collected traffic information. We also evaluate the proposed method for several cases.
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