基于通勤轨迹的潮汐交通拥堵路段识别与分析 |
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引用本文: | 饶磊,刘艳芳,罗园园,王楠楠. 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(4): 89-96. DOI: 10.3969/j.issn.1672-4623.2021.04.021 |
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作者姓名: | 饶磊 刘艳芳 罗园园 王楠楠 |
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作者单位: | 武汉大学资源与环境科学学院,湖北 武汉 430079;武汉大学资源与环境科学学院,湖北 武汉 430079;武汉大学教育部地理信息系统重点实验室,湖北 武汉 430079 |
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基金项目: | 地理大数据统一表达、聚合与可视化挖掘 |
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摘 要: | 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...
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关 键 词: | 拥堵识别 潮汐交通 通勤轨迹 地图匹配 隐式马尔科可夫链(HMM) |
Identification and Analysis of Tidal Congested Section Based on Commuter Trajectory |
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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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Keywords: | congestion identification tidal traffic commuter trajectory map matching implicit Markov chain |
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