基于实时路况的西安交通拥堵研究

发布时间：2018-05-31 01:19

  本文选题：实时路况 + 西安市　； 参考：《西北大学学报(自然科学版)》2017年04期

【摘要】：通过百度地图提取西安市实时路况数据,借助Arcgis软件,运用广义G统计量、热点分析方法对西安市的交通拥堵进行研究,力图揭示其拥堵的时空分布特征。结果显示,西安市的交通拥堵呈现出明显的时空特征,拥堵的时间规律主要受工作日通勤、节假日外出等因素的影响;拥堵的空间规律主要受城市功能分区、商圈分布、路网结构等因素的影响。研究结果表明了利用实时路况数据研究城市交通拥堵时空规律的可行性。
[Abstract]:The real time traffic condition data of Xi'an is extracted by Baidu map. With the help of Arcgis software, the traffic congestion in Xi'an is studied by using generalized G statistics and hot spot analysis method, in order to reveal the spatial and temporal distribution of traffic congestion in Xi'an. The results show that traffic jams in Xi'an have obvious space-time characteristics, the rules of congestion time are mainly influenced by the factors such as commuting during the working day and going out on holidays, and the spatial regularity of congestion is mainly affected by the urban function zoning, the distribution of business circles, etc. The influence of road network structure and other factors. The results show that it is feasible to study the temporal and spatial laws of urban traffic congestion using real-time traffic data.
【作者单位】： 西北大学城市与环境学院;南京大学地理与海洋科学学院;河南工业大学城市科学与区域发展研究所;
【基金】：西安市社会科学规划基金资助项目(16S42) 国家自然科学基金资助项目(51178163)
【分类号】：F49;F512.7
，

本文编号：1957687