Dataset for the van-drone routing problem with multiple delivery drop points

被引:1
|
作者
Athanasiadis, Eleftherios [1 ]
Koutras, Vasilis [1 ]
Zeimpekis, Vasileios [1 ]
机构
[1] Univ Aegean, Sch Engn, Dept Financial & Management Engn, 41 Kountouriotou St, Chios 82100, Greece
来源
DATA IN BRIEF | 2023年 / 48卷
关键词
Last mile delivery; City logistics; Routing optimization; Van -drone in tandem delivery;
D O I
10.1016/j.dib.2023.109192
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The distribution of parcels is one of the most complex and challenging processes in supply chain execution. Lately, the development of both electronic and quick commerce has driven carriers and courier operators to identify more effective methods for express parcel delivery. To this end, the development of efficient distribution networks that aim in increasing customer experience while maintaining low operating costs is significant importance both for researchers as well as for practitioners. This article presents a dataset for the Van Drone Routing Problem with Multiple Delivery Points and Cooperation (VDRPMDPC). The latter examines a van-drone team from an operational viewpoint, where a van moves along a road network while the drone egress and ingress from a van to a nearby delivery location and then travels back to the van. This problem has been created with the aim of assessing the design of more sustainable and costeffective delivery routes in urban and semi urban environments via the use of Unmanned Aerial Vehicles (UAVs). For the development of this dataset real geographical positions have been used located at two different areas of Athens, Greece. The entire benchmark is composed of 14 instancescomprised by 20, 40, 60 and 100 clients respectively. The dataset is publicly available for its use and modification.(c) 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Optimal Model and Algorithm of Medical Materials Delivery Drone Routing Problem under Major Public Health Emergencies
    Du, Lijing
    Li, Xiaohuan
    Gan, Yuan
    Leng, Kaijun
    SUSTAINABILITY, 2022, 14 (08)
  • [32] A branch-and-price-and-cut algorithm for the truck-based drone delivery routing problem with time windows
    Yin, Yunqiang
    Li, Dongwei
    Wang, Dujuan
    Ignatius, Joshua
    Cheng, T. C. E.
    Wang, Sutong
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2023, 309 (03) : 1125 - 1144
  • [33] Collaborative truck multi-drone routing and scheduling problem: Package delivery with flexible launch and recovery sites
    Salama, Mohamed R.
    Srinivas, Sharan
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2022, 164
  • [34] An exact algorithm for unpaired pickup and delivery vehicle routing problem with multiple commodities and multiple visits
    Xu, Dongyang
    Zhen, Lu
    Chan, Hing Kai
    Wang, Jianjiang
    Cui, Ligang
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2024, 160
  • [35] Stochastic Drone Fleet Deployment and Planning Problem Considering Multiple-Type Delivery Service
    Liu, Ming
    Liu, Xin
    Zhu, Maoran
    Zheng, Feifeng
    SUSTAINABILITY, 2019, 11 (14)
  • [36] Green split multiple-commodity pickup and delivery vehicle routing problem
    Zhao, Jiao
    Dong, Hongxia
    Wang, Ning
    COMPUTERS & OPERATIONS RESEARCH, 2023, 159
  • [37] An exact method for a last-mile delivery routing problem with multiple deliverymen
    Senna, Fernando
    Coelho, Leandro C.
    Morabito, Reinaldo
    Munari, Pedro
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2024, 317 (02) : 550 - 562
  • [38] Drone routing problem model for last-mile delivery using the public transportation capacity as moving charging stations
    Amirhossein Moadab
    Fatemeh Farajzadeh
    Omid Fatahi Valilai
    Scientific Reports, 12
  • [39] Drone routing problem model for last-mile delivery using the public transportation capacity as moving charging stations
    Moadab, Amirhossein
    Farajzadeh, Fatemeh
    Valilai, Omid Fatahi
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [40] Research on Routing Problem Based on Vehicle-Drone Joint Distribution-Taking Emergency Drugs Delivery as an Example
    Liang, Yiwei
    Hu, Dawei
    Du, Xiangqun
    CICTP 2020: TRANSPORTATION EVOLUTION IMPACTING FUTURE MOBILITY, 2020, : 4879 - 4891