City-wide vehicle dispatching for multi-hop ridesharing package delivery

被引:0
|
作者
Zhao Xiyu [1 ]
Zhang Xuefei [1 ]
Liu Junjie [1 ]
Wang Yining [1 ]
机构
[1] School of Telecommunication Engineering,Beijing University of Posts and Telecommunications
基金
中国国家自然科学基金;
关键词
D O I
10.19682/j.cnki.1005-8885.2020.0028
中图分类号
U492.22 [];
学科分类号
082302 ; 082303 ;
摘要
The city-wide ridesharing package delivery is becoming popular as it provides a convenience such as extra profits to the vehicle’s driver and high traffic efficiency to the city. The vehicle dispatching is a significant issue to improve the ridesharing efficiency in package delivery. The classic one-hop ridesharing package delivery requires the highly similar paths between the package and the vehicle given by the limited detour time, which depresses the ridesharing efficiency. To tackle this problem, a city-wide vehicle dispatching strategy for the multi-hop ridesharing package delivery was proposed, where a package is permitted to be delivered sequentially by different vehicles, until arriving the destination. The study formulates the vehicle dispatching as a maximum multi-dimensional bipartite matching problem with the goal of maximizing the total saving distance given by the limited detour time and ridesharing capacity. A multi-hop ridesharing vehicle dispatching algorithm was proposed to solve this problem by selecting the farthest reachable locker and multi-dimensional matching. Simulation results based on real vehicle dataset of Beijing demonstrate the effectiveness and efficiency of the proposed vehicle dispatching strategy.
引用
收藏
页码:82 / 90
页数:9
相关论文
共 50 条
  • [1] PPtaxi: Non-Stop Package Delivery via Multi-Hop Ridesharing
    Chen, Yueyue
    Guo, Deke
    Xu, Ming
    Tang, Guoming
    Zhou, Tongqing
    Ren, Bangbang
    [J]. IEEE TRANSACTIONS ON MOBILE COMPUTING, 2020, 19 (11) : 2684 - 2698
  • [2] Field test of multi-hop image sensing network prototype on a city-wide scale
    Che, Xianhui
    Ip, Barry
    Yan, Zhuge
    [J]. DIGITAL COMMUNICATIONS AND NETWORKS, 2019, 5 (02) : 131 - 137
  • [3] SRide: An Online System for Multi-Hop Ridesharing
    Shah, Inayatullah
    El Affendi, Mohammed
    Qureshi, Basit
    [J]. SUSTAINABILITY, 2020, 12 (22) : 1 - 29
  • [4] 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
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 18 (06) : 1478 - 1496
  • [5] Evolutionary Multiobjective Route Planning in Dynamic Multi-hop Ridesharing
    Herbawi, Wesam
    Weber, Michael
    [J]. EVOLUTIONARY COMPUTATION IN COMBINATORIAL OPTIMIZATION, 2011, 6622 : 84 - 95
  • [6] Vehicle-oriented ridesharing package delivery in blockchain system
    Zhang, Xuefei
    Liu, Junjie
    Li, Yijing
    Cui, Qimei
    Tao, Xiaofeng
    Liu, Ren Ping
    Li, Wenzheng
    [J]. DIGITAL COMMUNICATIONS AND NETWORKS, 2024, 10 (04) : 1014 - 1023
  • [7] Vehicle-oriented ridesharing package delivery in blockchain system
    Xuefei Zhang
    Junjie Liu
    Yijing Li
    Qimei Cui
    Xiaofeng Tao
    Ren Ping Liu
    Wenzheng Li
    [J]. Digital Communications and Networks., 2024, 10 (04) - 1023
  • [8] Efficient City-Wide Multi-Class Multi-Movement Vehicle Counting: A Survey
    David C. Anastasiu
    Jack Gaul
    Maria Vazhaeparambil
    Meha Gaba
    Prajval Sharma
    [J]. Journal of Big Data Analytics in Transportation, 2020, 2 (3): : 235 - 250
  • [9] A City-Wide Crowdsourcing Delivery System with Reinforcement Learning
    Ding, Yi
    Guo, Baoshen
    Zheng, Lin
    Lu, Mingming
    Zhang, Desheng
    Wang, Shuai
    Son, Sang Hyuk
    He, Tian
    [J]. PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT, 2021, 5 (03):
  • [10] Ridesharing as a Service: Exploring Crowdsourced Connected Vehicle Information for Intelligent Package Delivery
    Wang, Fangxin
    Zhu, Yifei
    Wang, Feng
    Liu, Jiangchuan
    [J]. 2018 IEEE/ACM 26TH INTERNATIONAL SYMPOSIUM ON QUALITY OF SERVICE (IWQOS), 2018,