A path planning heuristic for automated guided vehicles in container terminals

The use of Automated Guided Vehicles for container transportation within container termi- nals has emerged as a promising approach to enhance their efficiency and competitiveness over the last two decades. This development has created a need to optimize the utilization of these resources, partic- ularly through efficient path planning within their operating environment. In this work, we propose a Integer Linear Programming-based heuristic to address the problem of collision-free path planning for Automated Guided Vehicles in automated container terminals, where multiple transportation missions need to be performed by each vehicle. The method is evaluated and tested through extensive numeri- cal experiments. Conclusions are drawn regarding its efficiency, and directions for future research are suggested.

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Publication Details

Journal
RAIRO. Operations research
Published
2025-12-12
DOI
https://doi.org/10.1051/ro/2025162
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
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article

A path planning heuristic for automated guided vehicles in container terminals

Marie‐José Huguet, Ghassen Cherif, Karim Terfasse
RAIRO. Operations research
Advanced Manufacturing and Logistics Optimization
article

A path planning heuristic for automated guided vehicles in container terminals

Marie‐José Huguet, Ghassen Cherif, Karim Terfasse
article en

Abstract

The use of Automated Guided Vehicles for container transportation within container termi- nals has emerged as a promising approach to enhance their efficiency and competitiveness over the last two decades. This development has created a need to optimize the utilization of these resources, partic- ularly through efficient path planning within their operating environment. In this work, we propose a Integer Linear Programming-based heuristic to address the problem of collision-free path planning for Automated Guided Vehicles in automated container terminals, where multiple transportation missions need to be performed by each vehicle. The method is evaluated and tested through extensive numeri- cal experiments. Conclusions are drawn regarding its efficiency, and directions for future research are suggested.

RAIRO. Operations researchVol. 60(1)
Laboratoire d'Analyse et d'Architecture des Systèmes (FR), Mines Saint-Étienne (FR)
Openalex Percentile: Top 48%
Advanced Manufacturing and Logistics Optimization
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A path planning heuristic for automated guided vehicles in container terminals — Marie‐José Huguet, Ghassen Cherif, et al. · RAIRO. Operations research (2025) | TGRS Research Map | TGRS