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

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.

Authors

Institutions

Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1117/12.3054691
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Roberto Baldacci, Yu Zhang, Li-Qin Yang
Transportation and Mobility Innovations
article

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

Roberto Baldacci, Yu Zhang, Li-Qin Yang
article en

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.

Southwestern University of Finance and Economics (CN), Hamad bin Khalifa University (QA)
Openalex Percentile: Top 74%
Transportation and Mobility Innovations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.