标题: | 计程车空车巡行路径推估方法之研究 The Study of Vacant Taxi Routing Estimation |
作者: | 王佳祺 王晋元 Wang, Chia-Chi 运输与物流管理学系 |
关键字: | 计程车;热点辨识;路径推估;Taxi;HotSpot Identification;Routing Estimation |
公开日期: | 2017 |
摘要: | 计程车是都市重要的副大众运输工具,而对于计程车产业,需求热点辨识为一重要议题,因为透过找出需求所在位置,可以减少计程车空驶,达到增加营运效率以及降低污染的作用。然而,在过去的研究中,对于需求热点的计算多仅使用需求面资料,未考虑供需平衡关系。为改善此问题,本研究透过推估空车巡行路径,并将推估结果转换为各区域空车时间,作为计程车供给面资料供未来热点辨识使用。 本研究利用计程车新式计费表资料,及影响计程车需求之因素,建立两种空车巡行路径推估方法,并以推估结果将空车时间分配至对应时段、区域,计算不同时空下之总空车时间。本研究利用卫星车队之实际资料进行测试并验证准确度,结果显示本研究所提出之方法,推估出之数值准确度落于合理范围内。 Taxicab is a vital paratransit in urban areas, and hotspot identification of taxi demand is an import topic for taxi industry. By identifying the distribution of demand, it can reduce the vacant taxi routing, improve the operating efficiency and reduce air pollution. However, most previous studies only use demand-side data to calculate hotspots rather than consider the balance between supply and demand. To improve this problem, this study estimates the vacant taxi routing and converts the results into regional vacant time, which can be used as supply-side data for future study for hotspot identification. This study establishes two estimation methods based on the new-designed taxi fare meters data and factors that will affect taxi demand, and then converts the result into vacant time by time period and region. In this study, the data of satellite taxicab are used to verify the accuracy. The results show that the method proposed in this study can estimate vacant time with accuracy within reasonable range. |
URI: | http://etd.lib.nctu.edu.tw/cdrfb3/record/nctu/#GT070453607 http://hdl.handle.net/11536/140486 |
显示于类别: | Thesis |