Truck platooning can improve traffic efficiency while reducing fuel consumption by using vehicle-to-vehicle (V2V) communication based on 6G communication. This paper adopts a CACC model to control the platoon trucks in freight hubs for maximizing the overall profit of a short-medium distance logistic transportation system. It evaluates various dispatch strategies, accounting for environmental benefits and extra costs such as waiting times and goods delays in platoon formation. Utilizing real heavy-duty truck data, the study computes each truck’s VSP distribution to determine emission and fuel consumption rates. We introduce an enhanced PSO algorithm tailored for mining truck platoons. Using an advanced Nguyen and Dupius transport network model, different departure intervals and maximum platoon sizes are assessed. Results indicate that balancing ecological gains with additional wait costs significantly impacts profitability. The optimal strategy found involves departures every 30 min with a platoon limit of 5 trucks, leading to a peak profit of 512.70$ using the proposed algorithm.
V2V Communication Systems for Advanced Truck Platooning at Freight Hubs
Lect.Notes Social.Inform.
International Conference on 6GN for Future Wireless Networks ; 2024 ; Chongqing, China October 18, 2024 - October 19, 2024
2025-06-25
14 pages
Article/Chapter (Book)
Electronic Resource
English
V2V communication , Truck platooning , freight hubs , CACC model , ecological benefit Artificial Intelligence , Signal, Image and Speech Processing , Computer Applications , Computer Science , Machine Learning , Computer Communication Networks , Computer Imaging, Vision, Pattern Recognition and Graphics
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