基于轨迹数据的轨迹段生成与分析

Generation and Analysis of Trajectory Segment Based on Trajectory Data

随着人们生活水平的提高以及人们生活节奏的加快,电动自行车以其轻便、简洁、低能、环保等特点广受人民的追捧与喜爱,我国电动自行车的数量也急剧增长,而随着该行业的迅速发展也随之带来了一些问题,例如交通堵塞问题、电动自行车交通事故、电动自行车失窃问题等。得益于定位系统和位置移动算法的快速进步,现全国部分地区的电动自行车安装了防盗追踪系统,为本文研究提供了海量轨迹数据。在轨迹数据处理方面,本文选取一个月内在电动车平台上的数据,该数据主要是反映车辆通过GPRS通道上报的数据,根据数据提供的车辆不同时刻经纬度及速度,对轨迹数据进行异常点清洗,采用基于启发式异常检测算法进行噪声过滤,根据时间及停留点进行轨迹分段和道路匹配,将处理好的数据应用Echarts进行可视化显示。

In recent years,with the development of China's economy and the acceleration of people's life pace,electric bicycle is widely popular and popular with its light,simple,low energy and environmental protection,and the number of electric bicycles in China has also increased greatly.With the rapid development of thisindustry,some problems have been brought along with it,such as traffic jam,electric bicycle accident,andelectric bicycle theft.Thanks to the rapid progress of positioning system and location mobile algorithm,theelectric bicycle in some parts of the country has installed anti-theft tracking system,which provides a hugeamount of track data for this research.In the aspect of trajectory data processing,this project selects data onthe electric vehicle platform within one month,the data is mainly is reported data through the GPRS channelresponse vehicles,according to data provided by the vehicle longitude and latitude and speed,the differenttime to abnormal point trajectory data cleaning,noise filter based on heuristic anomaly detection algorithm,track segmentation and road matching are carried out according to time and stop points,and the processeddata are visually displayed by applying Echarts.