This research investigates platoon coordination and leader selection among mixed truck fleets, highlighting dynamic programming's role in optimizing efficiency.
Key Points
Enhancing platoon coordination boosts revenue while managing waiting and charging costs in mixed fleets.
The study utilizes a mixed-integer linear program to tackle the hub-based platoon coordination problem efficiently.
A dynamic programming approach computes sub-optimal solutions in polynomial time for scalable implementation.
Simulation studies with 1,000 trucks demonstrate significant effectiveness and computational efficiency of the proposed method.