摘要
大部分导航软件中都带有显示实时路况数据的功能,文章对当前两款主流导航软件"百度地图"和"高德地图"中的路况数据获取方式进行了详细分析,从"路况数据API爬取""路况地图瓦片爬取"两个方面进行了技术研究,通过爬虫技术实现了两种途径的自动数据爬取,并利用GIS技术将爬取的路况数据进行空间矢量化、可视化,形成路况地图,为路况拥堵分析、路网有效衔接分析等提供数据支撑。
Most navigation software has the function of displaying real-time traffic data.This paper makes a detailed analysis of the road data acquisition methods in the current two mainstream navigation software"BaiduMap"and"Automap",and carries out technical research from two aspects of"road condition data API crawling"and"road condition map tile crawling".Through the crawler technology,automatic data crawling of the two ways is realized,and GIS technology is used to make spatial vectorization and visualization of the road condition data to form a road condition map,which provides data support for the analysis of road congestion and the analysis of the effective connection of road network.
作者
阳利锋
YANG Li-feng(Chuanghuida Design Co.,Ltd.)
出处
《智能建筑与智慧城市》
2021年第4期117-119,共3页
Intelligent Building & Smart City
关键词
导航
路况分析
路况爬虫
路况矢量化
GIS
navigation
road condition analysisn
road condition crawlern
road condition vectorizationn
GIS