Adas, Akif (Politecnico di Milano), Arrigoni, Stefano (Politecnico di Milano), Brambilla, Mattia (Politecnico di Milano), Nicoli, Monica Barbara (Politecnico di Milano), Sabbioni, Edoardo (Politecnico di Milano)

Joint Travel Route Optimization Framework for Platooning

Scheduled for presentation during the Regular Session "Optimization of transportation infrastructure" (WeA2), Wednesday, June 18, 2025, 12:00−12:20, Jos

AAC 2025 11th IFAC International Symposium on Advances in Automotive Control, June 15-18, 2025, Eindhoven, Netherlands

This information is tentative and subject to change. Compiled on June 1, 2025

Abstract

Platooning represents an advanced driving technology designed to assist drivers in traffic convoys of varying lengths, enhancing road safety, reducing driver fatigue, and improving fuel efficiency. Sophisticated automated driving assistance systems have facilitated this innovation. Recent advancements in platooning emphasize cooperative mechanisms within both centralized and decentralized architectures enabled by vehicular communication technologies. This study introduces a cooperative route planning optimization framework aimed at promoting the adoption of platooning through a centralized platoon formation strategy at the system level. This approach is envisioned as a transitional phase from individual (ego) driving to fully collaborative driving. Additionally, this research formulates and incorporates travel cost metrics related to fuel consumption, driver fatigue, and travel time, considering regulatory constraints on consecutive driving durations. The performance of these cost metrics has been evaluated using Dijkstra’s and A* shortest path algorithms within a network graph framework. The results indicate that the proposed architecture achieves an average cost improvement of 14% compared to individual route planning for long road trips.