Impact of Varying Penetration Rate of Intelligent Routing Capabilities on Vehicular Traffic Flow

Christian Backfrieder, Manuel Lindorfer, C. Mecklenbräuker, G. Ostermayer
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引用次数: 4

Abstract

Beyond question, the improvement of traffic flow is a hot topic in current research, and numerous proposals how to optimize traffic on the roads exist. Distributed communication systems have come up recently as a very important mechanism in modern road networks in order to deal with this issue. Also, traffic delay problems due to jams are manifesting in many of the urban centers worldwide. With the objective of decreasing and in the best case avoiding congestion, V2X communication is exploited in order to counteract traffic jams by intelligent rerouting. Notwithstanding, the transition from very low penetration rates of vehicles that are equipped with communication functionality to a situation where basically all vehicles have the capability to send and receive information will not be made overnight. To a greater degree, the penetration of connected vehicles will increase more and more, which further will result in a very long period of mixed composition. This paper focuses on the analysis of a variable ratio of vehicles with routing and communication capabilities to those who are not. It analyzes the performance of a predictive rerouting algorithm when a distinct percentage of vehicles is unable to communicate for distinct traffic densities, and proves by simulations that even penetration rates far from a hundred percent lead to an improvement of the average time and fuel consumption as well as CO2 emissions per vehicle.
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智能路由能力渗透率变化对车辆交通流的影响
毫无疑问,交通流的改善是当前研究的热点问题,关于如何优化道路交通的建议很多。为了解决这一问题,分布式通信系统作为一种重要的机制在现代道路网络中应运而生。此外,由于交通堵塞导致的交通延误问题在全球许多城市中心都很明显。为了减少并在最好的情况下避免拥堵,V2X通信被利用来通过智能重路由来抵消交通拥堵。尽管如此,从配备通信功能的车辆普及率非常低到基本上所有车辆都有能力发送和接收信息的情况的转变不会在一夜之间完成。在更大程度上,互联汽车的渗透率将越来越高,这将进一步导致很长一段时间的混合构成。本文的重点是分析具有路由和通信能力的车辆与不具有路由和通信能力的车辆的可变比率。它分析了一种预测改道算法在一定比例的车辆因不同的交通密度而无法通信时的性能,并通过模拟证明,即使渗透率远低于100%,也会导致每辆车的平均时间、燃料消耗和二氧化碳排放的改善。
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