The En Route Truck-Drone Delivery Problem

Fuente: arXiv
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Autori principali: Krizanc, Danny, Narayanan, Lata, Opatrny, Jaroslav, Pankratov, Denis
Natura: Preprint
Pubblicazione: 2024
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author Krizanc, Danny
Narayanan, Lata
Opatrny, Jaroslav
Pankratov, Denis
author_facet Krizanc, Danny
Narayanan, Lata
Opatrny, Jaroslav
Pankratov, Denis
contents We study the truck-drone cooperative delivery problem in a setting where a single truck carrying a drone travels at constant speed on a straight-line trajectory/street. Delivery to clients located in the plane and not on the truck's trajectory is performed by the drone, which has limited carrying capacity and flying range, and whose battery can be recharged when on the truck. We show that the problem of maximizing the number of deliveries is strongly NP-hard even in this simple setting. We present a 2-approximation algorithm for the problem, and an optimal algorithm for a non-trivial family of instances.
format Preprint
id arxiv_https___arxiv_org_abs_2402_00829
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The En Route Truck-Drone Delivery Problem
Krizanc, Danny
Narayanan, Lata
Opatrny, Jaroslav
Pankratov, Denis
Data Structures and Algorithms
We study the truck-drone cooperative delivery problem in a setting where a single truck carrying a drone travels at constant speed on a straight-line trajectory/street. Delivery to clients located in the plane and not on the truck's trajectory is performed by the drone, which has limited carrying capacity and flying range, and whose battery can be recharged when on the truck. We show that the problem of maximizing the number of deliveries is strongly NP-hard even in this simple setting. We present a 2-approximation algorithm for the problem, and an optimal algorithm for a non-trivial family of instances.
title The En Route Truck-Drone Delivery Problem
topic Data Structures and Algorithms
url https://arxiv.org/abs/2402.00829