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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2020-04-01
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Online Access: | https://www.mdpi.com/1424-8220/20/7/2045 |
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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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1724835722035200000 |