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提出一种基于通勤轨迹数据,结合地图匹配算法和潮汐交通特征计算的潮汐交通拥堵识别方法,轨迹数据具有时间和空间上的连续性,而道路流量受单条轨迹数据的缺失影响比较小。潮汐路段空间分布结果显示武汉市都市发展区的潮汐交通分布在环线之间的连接路、跨江通道的出入口路段以及重要交通枢纽附近。武汉市目前潮汐路段相对较多而可变车道数量较少,本研究的识别结果有助于相关部门规划潮汐车道具体位置的决策,以及对可能潮汐拥堵路段的预测。
Abstract：In this paper,we proposed a tidal traffic congestion identification method based on commuter trajectory data,which combined with map matching algorithm and tidal traffic feature calculation.The trajectory data has the continuity in time and space,and the road low is less affected by the lack of single track data.The results of spatial distribution of tidal sections show that the tidal traffic in Wuhan urban development zone is distributed in the connecting roads between loop roads,the entrance and exit sections of river crossing channels and the vicinity of important transportation hubs.At present,there are many tidal roads in Wuhan,but the number of variable lanes is relatively small.The identification results of this study are helpful for the relevant departments to plan the specific location of tidal lanes and predict the possible tidal congestion sections.
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基本信息:
中图分类号:U491.265
引用信息:
[1]饶磊,刘艳芳,罗园园,等.基于通勤轨迹的潮汐交通拥堵路段识别与分析[J].地理空间信息,2021,19(04):89-96+8.
基金信息:
地理大数据统一表达、聚合与可视化挖掘（017YFB0503601）
2021-04-28
2021-04-28