ITSC 2025 Paper Abstract

Paper VP-VP.98

Wang, Ying (KTH Royal Institute of Technology), Bai, Ting (Cornell University), Malikopoulos, Andreas (Cornell University)

Platoon Coordination and Leader Selection in Mixed Transportation Systems Via Dynamic Programming

Scheduled for presentation during the Video Session "On-Demand Video Presentations" (VP-VP), Saturday, November 22, 2025, 08:00−18:00, On-Demand Platform

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on April 2, 2026

Keywords Autonomous Freight Transport Systems and Fleet Management Solutions, Cooperative Driving Systems and Vehicle Coordination in Multi-vehicle Scenarios, Multi-vehicle Coordination for Autonomous Fleets in Urban Environments

Abstract

With the growing penetration of electric trucks, freight transportation is transitioning toward a mixed system comprising both fuel-powered and electric trucks. Enhancing the formation of truck platoons in such a heterogeneous environment presents new challenges. This paper investigates the hub-based platoon coordination problem in a mixed-truck fleet, where the focus is to optimize trucks' waiting times, charging amounts for electric trucks, and platoon leader assignments. The objective is to maximize the overall platoon revenue of the fleet while accounting for the associated waiting and charging costs. We formulate the problem as a centralized optimization problem and present a dynamic programming approach to compute its suboptimal solution efficiently. The proposed method operates in polynomial time, ensuring scalable computational efficiency. Simulation studies involving 1,000 trucks traveling between two hubs in Sweden demonstrate the effectiveness and scalability of the approach.