Route Planning of Freight Transport and Logistics Considering Truck Platooning
Year: 2024
Type: article
Abstract: This article explores the integration of truck platooning and clustering algorithms within logistics path planning. Clustering algorithms divide a specific area into several zones, each with a designated distribution center for further route planning. This approach ensures that the route planning process extends the distance that truck fleets can travel together in platoon formation, maximizing the benefits of truck platooning. The integration of clustering and platooning not only enhances environmental sustainability by reducing fuel consumption and emissions but also increases operational efficiency. The review examines key studies employing machine learning and real-time data integration to optimize these techniques, addressing implementation challenges, technological advancements, and future research opportunities. Additionally, it investigates various methodologies to combine these techniques, including multi-agent systems and hierarchical clustering, highlighting significant improvements in fuel efficiency, cost savings, and emissions reduction. Case studies demonstrate practical benefits such as fuel savings ranging from 10% to 20% and reduced delivery times. The article emphasizes the potential for these integrated systems to revolutionize logistics operations through improved efficiency and sustainability, outlining the challenges and future directions for research and implementation in this field.
Author: Heshan Huang
Institution: Imperial College London
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4404866889