基于clo仿线曲线的车联网交叉口碰撞预警方案

Xuanhao Luo, Yong Feng, Chengdong Wang
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引用次数: 0

摘要

在交叉口区域提供有效的碰撞预警是交通安全的重要问题之一。本文提出了一种基于clooid曲线的车联网交叉口碰撞预警方案(CICW)。在CICW中,我们首先提出了一种基于clooid曲线的飞行器轨迹预测模型。在该模型中,车辆可以自行建立轨迹预测方程。每辆车基于自身的内部状态信息、电子地图、GPS数据以及相邻车辆的周期性信标状态信息求解方程。然后,车辆在自己和相邻车辆之间预测轨迹的交叉点。在参考点的基础上,进一步得到最早可能发生碰撞的位置,并发出预警。大量仿真结果表明,与现有方案相比,该方案具有较高的碰撞预警精度和较低的错误预警率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Clothoid Curve-Based Intersection Collision Warning Scheme in Internet of Vehicles
One of the most important problems in traffic safety is providing effective collision warnings in intersection areas. In this paper, we propose a Clothoid Curve-based Intersection Collision Warning scheme (CICW) in the Internet of Vehicles. In CICW, we first present a clothoid curve-based vehicle trajectory prediction model. In this model, vehicles can establish the trajectory prediction equations by themselves. Each vehicle solves the equations based on its internal state information, electronic map, GPS data and neighbour vehicles’ state information derived from periodical beacons. The vehicle then predicates the crossing points of the predicted trajectory between itself and the neighbour vehicles. Based on the reference points, it further obtains the earliest possible collision location and then issues a warning. Extensive simulation results show that the performance of the proposed scheme achieves higher collision warning accuracy and a lower error warning ratio compared to existing schemes.
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