Path Planning-aiding System of Unmanned Aerial Vehicle in Freight Transportation

DOI

10.2991/ncce-18.2018.163How to use a DOI?

Keywords

UAV; MILP; VRPTW; time window; commercial linear; highly-acceptable.

Abstract

This paper deals with the Unmanned Aerial Vehicle (UAV) Routing and Scheduling problem applied in logistics, with the implementation of Dynamic Mixed Integer Linear Programming (MILP) to tackle the problem. The MILP accounts for multiply constraints and objectives based on the demand of practicality and flexibility in real logistic operation: the minimal traveling cost and shortest delivery time, division of cold chain and ordinary logistics, aerial vehicle capacity, delivery and pickup requirement, the damage rate of cold chain goods, time window, etc. Formulations are proposed by modifying the vehicle routing problem with time window (VRPTW) with the increased time and space complexity. Then computer experiment is carried out by applying a commercial linear equation solver Gurobi. The output of proposed model involves the optimal routes, which shows a highly-acceptable solution with high-efficiency.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Yujia Zhang
AU  - Shaobo Zhai
AU  - Dongmei Wang
AU  - Long Chen
PY  - 2018/05
DA  - 2018/05
TI  - Path Planning-aiding System of Unmanned Aerial Vehicle in Freight Transportation
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 966
EP  - 972
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.163
DO  - 10.2991/ncce-18.2018.163
ID  - Zhang2018/05
ER  -