利用cam提供的联网车辆信息(协同感知信息)控制现实世界的十字路口

Daniel Wesemeyer, Jan Trumpold
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摘要

MAVEN项目(见https://www.maven-ts.eu)由欧盟委员会资助,旨在为自动连接车辆(acv)开发基础设施辅助排组织和绿色阶段谈判系统。车辆到一切(V2X)通信协议用于将车辆插入到现实世界十字路口的交通模拟中。到目前为止,现实世界的交通可以通过固定探测器插入到模拟中,例如磁场传感器、感应回路、摄像头、雷达等。这种检测方法的缺点是只能获得瞬时信息,例如,只能近似地获得接近十字路口的车辆的行为。然而,acv通过cam不断广播其位置和速度。通过这些信息检测车辆,可以更真实地反映车辆的驾驶行为。当前的论文描述了如何使用cam在不伦瑞克的一个现实世界十字路口的交通模拟SUMO(模拟城市交通)中放置和移动acv。此外,它还描述了如何将这些连续检测到的车辆进一步用作控制单元的方法。由于acv的位置和速度与现实世界的行为是同步的,因此它们可以用来调整传统车辆(CV)的模拟上游运动和定位以匹配现实。在所有车辆都配备V2X技术之前,这种方法可以实现更真实的模拟交通流量行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Controlling a real-world intersection with connected vehicle information provided by CAMs (Cooperative Awareness Messages)
The project MAVEN (see https://www.maven-ts.eu), funded by the European Commission, aims at developing a system for infrastructure-assisted platoon organization and green phase negotiation for automated connected vehicles (ACVs). Vehicle-to-Everything (V2X) communication protocols are hereby used for the insertion of vehicles into a traffic simulation of a real-world intersection. Until now, real world traffic could be inserted into a simulation through stationary detectors, for example magnet field sensors, induction loops, cameras, radar etc. The downside of this detection method is that only momentary information can be obtained and e.g. the behavior of the vehicles approaching an intersection can only be approximated. ACVs however continuously broadcast their positions and speeds via CAMs. Detecting vehicles though these messages leads to a more realistic representation of the vehicle’s driving behavior. The current paper describes how CAMs are used to place and move ACVs inside the simulation of a real-world intersection in Braunschweig with the traffic simulation SUMO (Simulation of Urban Mobility). Furthermore, it describes an approach to how these continuously detected vehicles could be further used as control units. Since the positions and speeds of ACVs are synchronized with the real-world behavior, they can be used to adjust the simulated upstream movements and positioning of conventional vehicles (CV) to match reality. Until all vehicles are equipped with V2X technology, this approach could enable more realistic simulated traffic flow behavior.
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