An Intelligent Parcel Delivery Scheduling Scheme in Road Networks

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Due to the development of an autonomous vehicle industry, the route finding is the important feature for this industry. This study proposes an intelligent parcel delivery scheduling scheme that utilizes machine learning to optimize delivery schedules for electric vehicles. The simulation involves managing electric vehicles that visit randomly assigned multiple destinations, and each vehicle determines the order of visits based on the algorithm used. Through simulation, the paper shows that the proposed scheme outperforms two legacy schemes (i.e., greedy and branch-And-bound algorithms), considering both route computation time and vehicle travel time.

Original languageEnglish
Title of host publication2023 14th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9784907626525
DOIs
StatePublished - 2023
Event14th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2023 - Kyoto, Japan
Duration: 29 Nov 20231 Dec 2023

Publication series

Name2023 14th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2023

Conference

Conference14th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2023
Country/TerritoryJapan
CityKyoto
Period29/11/231/12/23

Keywords

  • electric vehicles
  • Machine learning
  • parcel delivery
  • road networks
  • TSP

Fingerprint

Dive into the research topics of 'An Intelligent Parcel Delivery Scheduling Scheme in Road Networks'. Together they form a unique fingerprint.

Cite this