基于系统最优交通分配的网联汽车导航评价

Weibin Wang, M. Uehara, H. Ozaki
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引用次数: 1

摘要

最近,许多汽车都连入了互联网。在不久的将来,几乎所有的汽车都将是联网汽车。这种联网汽车将根据导航系统自动驾驶。传统的汽车导航系统基于用户均衡(UE)交通分配。但是,系统最优(SO)业务分配优于终端业务分配。要实现SO交通分配,需要完整的交通信息。当联网汽车无处不在时,所有的交通信息都将被收集到云端。因此,基于云的导航系统可以为联网汽车提供基于so的导航。最近提出了一种基于SO的导航方法,该方法是云收集联网汽车的交通信息,计算SO交通分配,并向用户推荐SO路线。本文对这种基于so的导航方法进行了详细的评价。
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Evaluation of navigation based on system optimal traffic assignment for connected cars
Recently, many cars have become connected to internet. In the near future, almost all cars will be connected cars. Such a connected car will automatically drive according to a navigation system. Conventional car navigation systems are based on User Equilibrium (UE) traffic assignment. However, System Optimal (SO) traffic assignment is better than UE traffic assignment. To realise SO traffic assignment, complete traffic information is required. When connected cars become ubiquitous, all traffic information will be gathered into the cloud. Therefore, a cloud-based navigation system can provide SO-based navigation to connected cars. An SO-based navigation method in which the cloud collects traffic information from connected cars, computes SO traffic assignments, and recommends SO routes to users was recently proposed. In this paper, we evaluate this SO-based navigation method in detail.
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