In this paper, in order to improve the safety and positioning accuracy of the electrical logistics vehicles in operation, we developed the electrical logistics vehicle remote monitoring platform. This platform consisted of an on-board monitoring module and the upper computer monitoring software and communicated through the 4G network. Then, we proposed the curve fitting and map matching algorithm based on the Douglas-Peucker track extracting algorithm to position the vehicles in real-time. At the end, through a ground test, we found that the monitoring platform could realize accurate monitoring, collection and display of the vehicle data, and could play back, extract and analyze the various historical data of the vehicles.%为了提高纯电动物流车运行时的安全性和定位准确性,开发了一套纯电动物流车远程监控平台.该平台由车载监控模块和上位机监控软件构成,通过4G网络通信.然后提出基于Douglas-Peucker轨迹提取算法的曲线拟合地图匹配算法对车辆进行实时定位.实车试验结果表明,该监控平台能够实现对车辆数据的准确监控、采集和显示,对车辆的各项历史数据进行回放、提取和分析,且经新的地图匹配算法匹配之后车辆的定位准确,基本满足纯电动物流车远程监控系统的设计要求.
展开▼
