摘要
城市交通路况数据对交通治理、交通拥堵预测等研究具有重要意义,针对常规交通路况数据获取成本高、难度大等问题,本文提出一种基于互联网地图的矢量路况数据生成与分析方法。该方法通过互联网地图提供的实时路况信息,利用网络抓取、GIS空间数据处理和图像识别等技术,将互联网实时路况瓦片数据自动化处理成矢量路况数据,便于交通运行特征分析。最后以重庆主城内环范围为例,基于百度地图实时路况自动生成不同时间段的矢量路况数据,利用此数据进行出行时空特征分析。实验证明该方法具有可操作性、通用性和有效性。
Urban traffic condition data is of great significance to the research of traffic management and traffic congestion prediction.Aiming at the problems of high cost and difficulty in obtaining conventional traffic condition data,this study proposes a traffic condition data generation and analysis method based on Internet map.Through the real-time traffic information provided by Internet map,the method proposed in this study adopted web crawler,GIS spatial data processing and image recognition technology to automatically process the internet real-time traffic tile data into vector road condition data,which is convenient for traffic operation characteristic analysis.Finally,taking the inner ring of the main urban districts in Chongqing as an example,the vector real-time traffic data of different time periods are automatically generated based on the real-time road conditions of Baidu map,and the travel spatiotemporal characteristics are analyzed by the data.Experiment results show that the method has operability,generality and effectiveness.
作者
何小波
罗跃
金贤锋
贾亚辉
韩维喆
HE Xiaobo;LUO Yue;JIN Xianfeng;JIA Yahui;Han Weizhe(Chongqing Geographic Information and Remote Sensing Application Center,Chongqing 401147,China)
出处
《地理信息世界》
2021年第6期53-58,共6页
Geomatics World
基金
国家重点研发计划(2018YFB0505400)
社会民生类重点研发项目(cstc2018jscx-mszdX0067)。
关键词
互联网地图
实时路况
交通拥堵
出行时空特征
GIS
internet map
real-time traffic
traffic congestion
travel spatiotemporal characteristics
GIS
