基于GPS浮动车数据的交通信息时空分布研究

On the Spatial and Temporal Distribution of Traffic Information Based on GPS Floating Car Data

目前,基于GPS浮动车数据的研究对象大多集中于微观的道路,缺少揭示城市交通信息整体时空分布规律的研究.为此,作者拟从宏观角度出发,研究交通信息在城市级别的时空分布特征,以期指导居民出行.以武汉市GPS浮动车数据为基础,以空间数据库和空间连接分析为支撑,结合统计分析等手段,研究了武汉市交通信息的时空变化规律.结果表明:相同类型日期之间的交通信息时间分布特征具有高度相似性,而不同类型日期之间的交通信息时间分布特征差异较大;工作日的交通拥堵时间发生在8点和18点左右,而周末的交通拥堵时间发生在11点和15点左右;远城区的整体交通状况要优于主城区的交通状况.

In the last few years, GPS floating car data was introduced to study traffic information on the road. However, few researches concentrated on the traffic information for a whole city. In order to provide a guide for resident trips, spatial and temporal distribution of traffic information based on GPS floating car data was studied. Based on GPS floating car data in Wuhan and supported by spatial database and spatial join analysis, the process about spatial and temporal distribution of traffic information of the city was in- vestigated by means of statistical analysis. Three main conclusions were made in this paper： First, traffic information distribution was highly similar at the same type of date, but there was a big difference between different types of date; then, traffic congestion.occurred at about 8 a. m. and 6 p. m. on weekdays and at about 11 a.m. and 3 p.m. on weekends; and, finally, traffic situation was better in suburban districts than in central districts.