Dynamic pickup and delivery problem considering electric vehicle charging and driver fatigue

Liqin Yang, Yu Zhang, Roberto Baldacci*

*Corresponding author for this work

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

Abstract

Fatigue driving is one of the major causes of traffic accidents. Electric vehicles become increasingly popular, considering driver fatigue during vehicle route planning poses greater challenges. In this paper, we address both the electric vehicle charging problem and driver fatigue issue within the dynamic pickup and delivery problem. We propose a mathematical model and solve it using a hybrid Adaptive Large Neighborhood Search algorithm. Numerical experiments are conducted using the real road network map of Dalian City. We find that sacrificing a small amount of traditional cost can lead to significant improvements in addressing driver fatigue.

Original languageEnglish
Title of host publicationEighth International Conference on Traffic Engineering and Transportation System, ICTETS 2024
EditorsXiantao Xiao, Jia Yao
PublisherSPIE
ISBN (Electronic)9781510686281
DOIs
Publication statusPublished - 20 Dec 2024
Event8th International Conference on Traffic Engineering and Transportation System, ICTETS 2024 - Dalian, China
Duration: 20 Sept 202422 Sept 2024

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13421
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference8th International Conference on Traffic Engineering and Transportation System, ICTETS 2024
Country/TerritoryChina
CityDalian
Period20/09/2422/09/24

Keywords

  • Adaptive Large Neighborhood Search Algorithm
  • Driver Fatigue
  • Dynamic Pickup and Delivery Problem
  • Electric Vehicles
  • Vehicle Routing Optimization

Fingerprint

Dive into the research topics of 'Dynamic pickup and delivery problem considering electric vehicle charging and driver fatigue'. Together they form a unique fingerprint.

Cite this