出租车浮动车数据提供了丰富的路网实时运行信息,基于浮动车数据系统分析了上海市主干路192个路段的平均车速以衡量其运行特征。道路特征、运行环境会影响驾驶员的速度选择,基于上述路段的几何设计特征、接入口属性、交叉口渠化、流量、区位及用地特征共6类道路与运行环境特征,运用多元线性回归的方法,分析了主干路路段平均速度影响因素。分析表明,道路与运行环境特征会显著影响主干路路段车速。
The Floating Car Data (FCD) of taxi provides abundant real-time operating information on the road network. Based on the FCD, this dissertation analyzed the segment-level average speed on 192 arterial segments in Shanghai. The road and environment characteristics will influence the drivers speed choice. Multiple linear regression was used to analyze the speed factors on the arterial segments based on various road and environment characteristics including road geometry, access points, intersection canalization, volume, region and land use. The results shows that road and environment characteristics will significantly influence the average speed on the arterial segments.