부산대학교 도서관

In recent years, truck platooning has emerged as a promising approach to enhance fuel efficiency and reduce traffic congestion. Communication among the trucks within the platoon is critical to maintaining the necessary coordination and ensuring the safety of the vehicles. However, latency and energy consumption in the communication network can affect the performance of the platoon. In this paper, we present a novel approach to optimize the communication network by minimizing latency and energy consumption, leveraging Mixed-Integer Linear Programming (MILP) and the Alternating Direction Method of Multipliers (ADMM) within a framework of convex optimization. The MILP formulation captures the discrete aspects of the problem, such as the truck assignment to platoons, while the ADMM technique is employed to solve the continuous variables, like the communication network parameters, in a decentralized and efficient manner. We propose a decentralized platooning model that incorporates the constraints of the communication network and also develop the formulation to tackle a general scenario with multiple platoons.