CROWDDELIVER: Planning City-Wide Package Delivery Paths Leveraging the   Crowd of Taxis

doi:10.1109/TITS.2016.2607458

CORC > 北京大学 > 信息科学技术学院

	CROWDDELIVER: Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis
	Chen, Chao ; Zhang, Daqing ; Ma, Xiaojuan ; Guo, Bin ; Wang, Leye ; Wang, Yasha ; Sha, Edwin
刊名	IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
	2017
关键词	Package delivery hitchhiking rides route planning taxi scheduling trajectory data mining HUMAN MOBILITY PATTERNS GPS TRACES AD-HOC NETWORKS
DOI	10.1109/TITS.2016.2607458
英文摘要	Despite the great demand on and attempts at package express shipping services, online retailers have not yet had a practical solution to make such services profitable. In this paper, we propose an economical approach to express package delivery, i.e., exploiting relays of taxis with passengers to help transport package collectively, without degrading the quality of passenger services. Specifically, we propose a two-phase framework called CROWDDELIVER for the package delivery path planning. In the first phase, we mine the historical taxi trajectory data offline to identify the shortest package delivery paths with estimated travel time given any Origin-Destination pairs. Using the paths and travel time as the reference, in the second phase we develop an online adaptive taxi scheduling algorithm to find the near-optimal delivery paths iteratively upon real-time requests and direct the package routing accordingly. Finally, we evaluate the two-phase framework using the real-world data sets, which consist of a point of interest, a road network, and the large-scale trajectory data, respectively, that are generated by 7614 taxis in a month in the city of Hangzhou, China. Results show that over 85% of packages can be delivered within 8 hours, with around 4.2 relays of taxis on average.; National Science Foundation of China [61602067, 61572048]; Fundamental Research Funds for the Central Universities [106112015CDJXY180001]; Chongqing Basic and Frontier Research Program [cstc2015jcyjA00016]; Open Research Fund Program of the Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University; SCI(E); ARTICLE; 6; 1478-1496; 18
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/473073]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Chen, Chao,Zhang, Daqing,Ma, Xiaojuan,et al. CROWDDELIVER: Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2017.
APA	Chen, Chao.,Zhang, Daqing.,Ma, Xiaojuan.,Guo, Bin.,Wang, Leye.,...&Sha, Edwin.(2017).CROWDDELIVER: Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS.
MLA	Chen, Chao,et al."CROWDDELIVER: Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2017).