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Title:

A Solution to Drone Routing Problems using Docking Stations for Pickup and Delivery Services

Accession Number:

01782037

Record Type:

Component

Availability:

Find a library where document is available


Order URL: http://worldcat.org/issn/03611981

Abstract:

The paper proposes a mathematical model and a heuristic solution for planning optimal pickup and delivery routes in drone operations. In the proposed system, the drone is synchronized with the docking station for a charge during pickup and delivery services within a definite set distance radius. The optimization model presented here minimizes the distance traveled by the drone to complete the scheduled services. It also ensures the optimal use of the drone’s battery capacity, ensuring the safe return of the drone without running out of battery during operations. The solution quality and the computational performance of the Mixed-Integer Linear Programming (MILP) model proved satisfactory in addressing a variety of problems. A real-world case study is conducted to enumerate the practical implications which will be of benefit to drone service providers in the field of logistics.

Supplemental Notes:

© National Academy of Sciences: Transportation Research Board 2021.

Language:

English

Authors:

Pachayappan, Murugaiyan
Sudhakar, Vijayakumar

Pagination:

pp 1056-1074

Publication Date:

2021-12

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Volume: 2675
Issue Number: 12
Publisher: Sage Publications, Incorporated
ISSN: 0361-1981
EISSN: 2169-4052
Serial URL: http://journals.sagepub.com/home/trr

Media Type:

Web

Features:

References (60)

Subject Areas:

Aviation; Freight Transportation; Planning and Forecasting

Files:

TRIS, TRB, ATRI

Created Date:

Sep 17 2021 3:13PM