出租车交接班行为识别与时空分布研究

发布时间：2018-05-11 17:49

  本文选题：交接班 + GPS时空轨迹　； 参考：《地球信息科学学报》2017年02期

【摘要】：在出租车交接班时间段内经常发生打车难,甚至空车拒载的现象,研究出租车交接班行为的时空分布特征不仅能提高出租车运行效率,同时能缓解出租车供需矛盾,方便公众出行。本文采用武汉市出租车GPS轨迹数据,建立了出租车交接班时空序列模式,提出了交接班时空序列模式挖掘与识别方法,分析了交接班事件的时空分布特征,并以车辆区域覆盖强度、区域覆盖密度为指标对交接班停靠点城市资源配置进行了评估。研究结果表明:武汉市出租车交接班集中发生在凌晨1:00-4:00与下午16:00-17:00,下午交接班高峰与晚交通高峰时段有部分重叠,交接班地点比较均匀地遍布中心城区(青山区除外,此区域开发程度较低),武昌区交接班强度最大,江汉区交接班密度最大。此外,结合武汉市2012年出台禁止出租车司机在晚高峰交通时段交接班的规定,探测发现6.5%左右的司机仍存在严重违规交接班行为。
[Abstract]:During the period of taxi shift, it is often difficult to take a taxi, or even empty car refuses to load. Studying the spatial and temporal distribution characteristics of taxi turnover behavior can not only improve the efficiency of taxi operation, but also alleviate the contradiction between supply and demand of taxi. It is convenient for the public to travel. In this paper, based on the GPS track data of taxi in Wuhan, the spatio-temporal sequence pattern of taxi shift is established, and the mining and recognition method of the time-space sequence pattern of shift transition is put forward, and the spatio-temporal distribution characteristics of the transition event are analyzed. The urban resource allocation of the shift stopping point was evaluated based on the vehicle area coverage intensity and the area coverage density. The results show that taxi shifts in Wuhan are concentrated at 1: 00-4: 00 in the morning and 16: 00-17: 00 in the afternoon. There is a partial overlap between the afternoon shift peak and the late traffic rush hour, and the shift transfer places are more evenly spread over the central urban areas (except in Qingshan District). The degree of development in this area is low, the intensity of handover is the largest in Wuchang, and the density of shift in Jianghan is the largest. In addition, in line with Wuhan's 2012 regulation banning taxi drivers from switching shifts during the evening rush hour, it was found that about 6.5 percent of drivers still have serious illegal shifts.
【作者单位】： 武汉大学测绘遥感信息工程国家重点实验室;
【基金】：国家自然科学基金项目(41571430、41271442、40801155)
【分类号】：U492.434;P228.4
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本文编号：1874952