摘要
为改善车联网车辆异常轨迹检测的精准度,避免车辆轨迹与路面信息不匹配而引发交通拥塞,本次提出基于激光通信网络研究车联网车辆异常轨迹检测方法。首先构建车联网车辆轨迹模型,分析车联网车辆轨迹特征;然后分析车联网激光通信信道的均衡情况,采用均衡技术完成车联网信道均衡配置;最后根据异常信号反馈结果,实现车联网车辆的异常轨迹检测。实验结果表明,该方法能有效实现车联网车辆的异常轨迹识别,其轨迹扩散度为0.541。平均误转发率为0.041,保真度较高,具有较好的应用价值。
In order to improve the accuracy of vehicle abnormal trajectory detection on the Internet of vehicles and avoid traffic congestion caused by the mismatch between vehicle trajectory and road information,this paper proposes a method for abnormal trajectory detection of the Internet vehicles based on laser communication network.Firstly,the vehicle trajectory model of the Internet of vehicles is constructed,and the vehicle trajectory characteristics of the Internet of vehicles are analyzed.Then,the equalization of the laser communication channel of the Internet of vehicles is analyzed,and the equalization technology is used to complete the channel equalization configuration of the Internet of vehicles.Finally,according to the abnormal signal feedback results,the abnormal trajectory detection of vehicles connected to the Internet of vehicles is realized.The experimental results show that the proposed method can effectively recognize the abnormal trajectory of vehicles connected to the Internet of vehicles,and its trajectory diffusion degree is 0.541.The average error forwarding rate is 0.041,which has high fidelity and good application value.
作者
陈东升
CHEN Dongsheng(Chongqing College of International Business and Economics,Chongqing 401520)
出处
《激光杂志》
CAS
北大核心
2023年第5期133-137,共5页
Laser Journal
基金
重庆对外经贸学院科研项目(No.KYKF202101)
重庆市教委科学技术研究项目(No.KJZD-K202202001)。
关键词
激光通信技术
车联网
轨迹
异常检测
激光传感器
laser communication technology
vehicle networking
track
abnormal detection
laser sensor
