论文部分内容阅读
摘 要：基于網联环境下的实时车辆信息交互与道路信息获取，提出了一种利用累积阈值的设计思路来优化车辆安全预警系统。通过对实时的车速与路况等参数的分析，结合基于道路渠化所得的冲突区域，建立交叉十字路口冲突模型，得到车辆冲突时间轴，以此判断是否存在潜在冲突。同时，随着预测所得潜在冲突数的累积，当达到所设阈值后，确定事故发生并进行预警。该方法可为车辆安全系统的设计甚至自动驾驶相关研发提供一种新思路，提高碰撞预警的准确性，具有较高的安全效益。
关键词：车联网 交叉口安全 冲突区域 系统优化
Optimization of Vehicle Safety Early Warning at Intersections based on the Networked Environment
Sun Hao Li Zheng Gao Shenzhen Hu Yaqi Qin Dandan
Abstract：Based on the real-time vehicle-to-vehicle information interaction and road information acquisition in a networked environment， a design idea using cumulative thresholds is proposed to optimize the vehicle safety early warning system. Through the analysis of real-time vehicle speed and road conditions and other parameters， combined with the conflict area obtained based on road channelization， a crossroad conflict model is established to obtain the vehicle conflict time axis to determine whether there is a potential conflict. At the same time， as the predicted number of potential conflicts accumulates， when the set threshold is reached， the occurrence of an accident is determined， and an early warning is given. This method can provide a new idea for the design of vehicle safety systems and even the research and development of autonomous driving， improve the accuracy of collision warning， and have higher safety benefits.
Key words：internet of vehicles， intersection safety， conflict areas， system optimization
关键词：车联网 交叉口安全 冲突区域 系统优化
Optimization of Vehicle Safety Early Warning at Intersections based on the Networked Environment
Sun Hao Li Zheng Gao Shenzhen Hu Yaqi Qin Dandan
Abstract：Based on the real-time vehicle-to-vehicle information interaction and road information acquisition in a networked environment， a design idea using cumulative thresholds is proposed to optimize the vehicle safety early warning system. Through the analysis of real-time vehicle speed and road conditions and other parameters， combined with the conflict area obtained based on road channelization， a crossroad conflict model is established to obtain the vehicle conflict time axis to determine whether there is a potential conflict. At the same time， as the predicted number of potential conflicts accumulates， when the set threshold is reached， the occurrence of an accident is determined， and an early warning is given. This method can provide a new idea for the design of vehicle safety systems and even the research and development of autonomous driving， improve the accuracy of collision warning， and have higher safety benefits.
Key words：internet of vehicles， intersection safety， conflict areas， system optimization