摘要
针对目前市面上的人-车碰撞预警系统大多采取单向预警措施,即行人端不能提前接收到预警信息进而容易引起交通事故的问题,本文设计了一种基于车联网的人-车碰撞双向预警系统.该系统由车载客户端、行人客户端、云服务器、控制管理界面四部分组成.车载客户端与行人客户端主要负责将GPS坐标以及车辆的行驶信息通过无线网络传输到云服务器,接受云服务器转发的相关信息,并根据所设计碰撞预警算法计算预警信息.同时,为了便于整个系统的后台管理,还设计了包括更新数据、记录数据、绘制轨迹等功能的控制管理界面.最后对所设计的系统进行了调试及测试,验证了该人-车碰撞预警系统具有车辆、行人双向预警功能,可以让行人提前获知可能存在的危险并实施预防措施,大大降低人-车碰撞交通事故的发生率.
In view of the one-way warning measures adopted by most of the current human-vehicle collision warning systems on the market,the pedestrian side cannot receive the warning information in advance and thus it is easy to cause traffic accidents.This paper designs a two-way early warning system for human-vehicle collision based on vehicle networking.The system consists of four parts:vehicle client,pedestrian client,cloud server,and control management interface.The vehicle-mounted client and pedestrian client are mainly responsible for transmitting GPS coordinates and vehicle driving information to the cloud server through the wireless network,receiving the relevant information forwarded by the cloud server,and calculating the warning information according to the designed collision warning algorithm.At the same time,in order to facilitate the background management of the whole system,the paper also designs a control management interface,including the functions of both updating and recording the data,and drawing the trajectory.Finally,the system is debugged and tested,and it is verified that the human-vehicle collision warning system has a two-way warning function for vehicles and pedestrians,which enables pedestrians to know the possible danger in advance and implement preventive measures,thus greatly reducing the occurrence rate of human-vehicle collision traffic accidents.
作者
黄金铭
李飞翔
曹俞
陈永敏
高琳琳
姚建红
HUANG Jinming;LI Feixiang;CAO Yu;CHEN Yongmin;GAO Linlin;YAO Jianhong(School of Automobile Engineering,Changshu Institute of Technology,Changshu 215500,China)
出处
《常熟理工学院学报》
2022年第2期99-103,共5页
Journal of Changshu Institute of Technology
关键词
车联网
人-车碰撞预警系统
汽车主动安全
碰撞预警
car networking
human-vehicle collision warning system
vehicle active safety
collision warning