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V2X-Based Traffic Congestion Recognition and Avoidance

机译:基于V2X的流量拥塞识别和避免

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Vehicular traffic congestion is a global phenomenon that has increased in importance in the last decades and has caused economically and ecologically negative effects. Thus, finding a way to improve traffic efficiency is a high-frequented problem to be solved by scientists and politicians worldwide. One new promising approach is the usage of decentralized wireless vehicle to vehicle communication based on the Vehicle-2-X (V2X) technology. The idea is that vehicles share information about the current local traffic situation and use this information to optimize their routes. In this paper, we introduce a new algorithm that can be used by navigation systems to calculate routes circumnavigating congested roads. For this purpose, each vehicle transmits its average speed of a road segment to vehicles in the neighbourhood. As a result, vehicles receiving this information can recalculate their routes based on the knowledge about the current possible speeds in the road segments of their neighbourhood. To evaluate the improvements that can be achieved by our algorithm, simulations have been done. Our results show that navigation systems using the V2X technology for a more intelligent route calculation can improve the traffic efficiency of future transport systems.
机译:车辆交通拥堵是在过去几十年中具有重要意义的全球现象,并且在经济和生态上产生了负面影响。因此,寻找一种提高流量效率的方法是由全世界科学家和政客解决的高频繁问题。一种新的承诺方法是基于车辆-2-x(V2X)技术的分散无线车辆与车辆通信的使用。这个想法是车辆共享有关当前本地交通情况的信息,并使用此信息优化其路线。在本文中,我们介绍了一种可以通过导航系统使用的新算法来计算环形虚荣道路的路线。为此目的,每个车辆将其平均速度传输到邻域内的车辆。结果,接收此信息的车辆可以基于关于其邻域的道路段中的当前可能速度的知识来重新计算它们的路线。为了评估我们的算法可以实现的改进,已经完成了模拟。我们的结果表明,使用V2X技术为更智能路线计算的导航系统可以提高未来运输系统的流量效率。

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