出租車交接班行為識別與時空分布研究
發(fā)布時間:2018-05-11 17:49
本文選題:交接班 + GPS時空軌跡; 參考:《地球信息科學(xué)學(xué)報》2017年02期
【摘要】:在出租車交接班時間段內(nèi)經(jīng)常發(fā)生打車難,甚至空車拒載的現(xiàn)象,研究出租車交接班行為的時空分布特征不僅能提高出租車運行效率,同時能緩解出租車供需矛盾,方便公眾出行。本文采用武漢市出租車GPS軌跡數(shù)據(jù),建立了出租車交接班時空序列模式,提出了交接班時空序列模式挖掘與識別方法,分析了交接班事件的時空分布特征,并以車輛區(qū)域覆蓋強度、區(qū)域覆蓋密度為指標(biāo)對交接班停靠點城市資源配置進行了評估。研究結(jié)果表明:武漢市出租車交接班集中發(fā)生在凌晨1:00-4:00與下午16:00-17:00,下午交接班高峰與晚交通高峰時段有部分重疊,交接班地點比較均勻地遍布中心城區(qū)(青山區(qū)除外,此區(qū)域開發(fā)程度較低),武昌區(qū)交接班強度最大,江漢區(qū)交接班密度最大。此外,結(jié)合武漢市2012年出臺禁止出租車司機在晚高峰交通時段交接班的規(guī)定,探測發(fā)現(xiàn)6.5%左右的司機仍存在嚴(yán)重違規(guī)交接班行為。
[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.
【作者單位】: 武漢大學(xué)測繪遙感信息工程國家重點實驗室;
【基金】:國家自然科學(xué)基金項目(41571430、41271442、40801155)
【分類號】:U492.434;P228.4
,
本文編號:1874952
本文鏈接:http://sikaile.net/kejilunwen/dizhicehuilunwen/1874952.html
最近更新
教材專著