Scheduling of a Parcel Delivery System Consisting of an Aerial Drone Interacting with Public Transportation Vehicles

This paper proposes a novel parcel delivery system which consists of a drone and public transportation vehicles such as trains, trams, etc. This system involves two delivery schemes: drone-direct scheme referring to delivering to a customer by a drone directly and drone–vehicle collaborating scheme...

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Main Authors: Hailong Huang, Andrey V. Savkin, Chao Huang
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/7/2045
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spelling doaj-9b10c96c96084b0f9a1cef11f5cdc40f2020-11-25T02:28:54ZengMDPI AGSensors1424-82202020-04-01202045204510.3390/s20072045Scheduling of a Parcel Delivery System Consisting of an Aerial Drone Interacting with Public Transportation VehiclesHailong Huang0Andrey V. Savkin1Chao Huang2School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney 2052, AustraliaSchool of Electrical Engineering and Telecommunications, University of New South Wales, Sydney 2052, AustraliaElectrical Computer and Telecommunications Engineering, University of Wollongong, Wollongong 2500, AustraliaThis paper proposes a novel parcel delivery system which consists of a drone and public transportation vehicles such as trains, trams, etc. This system involves two delivery schemes: drone-direct scheme referring to delivering to a customer by a drone directly and drone–vehicle collaborating scheme referring to delivering a customer based on the collaboration of a drone and public transportation vehicles. The fundamental characteristics including the delivery time, energy consumption and battery recharging are modelled, based on which a time-dependent scheduling problem for a single drone is formulated. It is shown to be NP-complete and a dynamic programming-based exact algorithm is presented. Since its computational complexity is exponential with respect to the number of customers, a sub-optimal algorithm is further developed. This algorithm accounts the time for delivery and recharging, and it first schedules the customer which leads to the earliest return. Its computational complexity is also discussed. Moreover, extensive computer simulations are conducted to demonstrate the scheduling performance of the proposed algorithms and the impacts of several key system parameters are investigated.https://www.mdpi.com/1424-8220/20/7/2045UAVsdronesparcel deliveryscheduling problempublic transportation vehicles
collection DOAJ
language English
format Article
sources DOAJ
author Hailong Huang
Andrey V. Savkin
Chao Huang
spellingShingle Hailong Huang
Andrey V. Savkin
Chao Huang
Scheduling of a Parcel Delivery System Consisting of an Aerial Drone Interacting with Public Transportation Vehicles
Sensors
UAVs
drones
parcel delivery
scheduling problem
public transportation vehicles
author_facet Hailong Huang
Andrey V. Savkin
Chao Huang
author_sort Hailong Huang
title Scheduling of a Parcel Delivery System Consisting of an Aerial Drone Interacting with Public Transportation Vehicles
title_short Scheduling of a Parcel Delivery System Consisting of an Aerial Drone Interacting with Public Transportation Vehicles
title_full Scheduling of a Parcel Delivery System Consisting of an Aerial Drone Interacting with Public Transportation Vehicles
title_fullStr Scheduling of a Parcel Delivery System Consisting of an Aerial Drone Interacting with Public Transportation Vehicles
title_full_unstemmed Scheduling of a Parcel Delivery System Consisting of an Aerial Drone Interacting with Public Transportation Vehicles
title_sort scheduling of a parcel delivery system consisting of an aerial drone interacting with public transportation vehicles
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2020-04-01
description This paper proposes a novel parcel delivery system which consists of a drone and public transportation vehicles such as trains, trams, etc. This system involves two delivery schemes: drone-direct scheme referring to delivering to a customer by a drone directly and drone–vehicle collaborating scheme referring to delivering a customer based on the collaboration of a drone and public transportation vehicles. The fundamental characteristics including the delivery time, energy consumption and battery recharging are modelled, based on which a time-dependent scheduling problem for a single drone is formulated. It is shown to be NP-complete and a dynamic programming-based exact algorithm is presented. Since its computational complexity is exponential with respect to the number of customers, a sub-optimal algorithm is further developed. This algorithm accounts the time for delivery and recharging, and it first schedules the customer which leads to the earliest return. Its computational complexity is also discussed. Moreover, extensive computer simulations are conducted to demonstrate the scheduling performance of the proposed algorithms and the impacts of several key system parameters are investigated.
topic UAVs
drones
parcel delivery
scheduling problem
public transportation vehicles
url https://www.mdpi.com/1424-8220/20/7/2045
work_keys_str_mv AT hailonghuang schedulingofaparceldeliverysystemconsistingofanaerialdroneinteractingwithpublictransportationvehicles
AT andreyvsavkin schedulingofaparceldeliverysystemconsistingofanaerialdroneinteractingwithpublictransportationvehicles
AT chaohuang schedulingofaparceldeliverysystemconsistingofanaerialdroneinteractingwithpublictransportationvehicles
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