Two- Echelon Vehicle Routing Problem with Trucks and Drones

Over the years, the Vehicle Routing Problem (VRP) has been extensively studied. As real-world scenarios and technol-ogy evolve, researchers are increasingly integrating drones with trucks, leading to the development of the Two-Echelon Vehicle Routing Problem (2EVRP). The 2EVRP involves dividing the route plan into two segments: the first echelon operated by trucks and the second by drones. With the introduction of lightweight, cost-effective delivery solutions like drones, the 2EVRP faces challenges such as limited drone battery life and adherence to public safety policies. This survey examines the literature on traditional exact and heuristic algorithms alongside contem-porary machine learning approaches, including supervised and reinforcement learning methods. Additionally, we review current real-world applications of drone delivery. Finally, we highlight several future research directions for 2EVRP with truck and drone collaborations.

Authors

Institutions

Publication Details

Published
2024-11-28
DOI
https://doi.org/10.1109/cbd65573.2024.00059
Primary Topic
Vehicle Routing Optimization Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Two- Echelon Vehicle Routing Problem with Trucks and Drones

Jun Shen, Quan Zhou, Bo Du, Xinyi Han
Vehicle Routing Optimization Methods
article

Two- Echelon Vehicle Routing Problem with Trucks and Drones

Jun Shen, Quan Zhou, Bo Du, Xinyi Han
article en

Abstract

Over the years, the Vehicle Routing Problem (VRP) has been extensively studied. As real-world scenarios and technol-ogy evolve, researchers are increasingly integrating drones with trucks, leading to the development of the Two-Echelon Vehicle Routing Problem (2EVRP). The 2EVRP involves dividing the route plan into two segments: the first echelon operated by trucks and the second by drones. With the introduction of lightweight, cost-effective delivery solutions like drones, the 2EVRP faces challenges such as limited drone battery life and adherence to public safety policies. This survey examines the literature on traditional exact and heuristic algorithms alongside contem-porary machine learning approaches, including supervised and reinforcement learning methods. Additionally, we review current real-world applications of drone delivery. Finally, we highlight several future research directions for 2EVRP with truck and drone collaborations.

University of Wollongong (AU)
Openalex Percentile: Top 60%
Vehicle Routing Optimization Methods
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.

Two- Echelon Vehicle Routing Problem with Trucks and Drones — Jun Shen, Quan Zhou, et al. · (2024) | TGRS Research Map | TGRS