Multi-Agent Control Systems in Autonomous Vehicles

Abstract

Multi-Agent Control Systems (MACS) has become one of the fundamental platforms on the development of autonomous vehicle (AV) technologies because of its capability to facilitate decentralized coordination, cooperative intelligence, and adaptive decision-making. In this paper, the theoretical basis, architecture, communication models, and application of MACS in autonomous driving are studied. The paper examines the collaborative model of navigation, obstacle detection, path planning, and traffic coordination of distributed agents by relying on a systematic literature review and analytical synthesis. It is found that MACS provide a significant boost in scalability, fault tolerance, safety and real-time responsiveness in AV ecosystems. The study finds that the future intelligent transportation systems will require multi-agent control particularly when cities evolve into large-scale autonomous mobility networks.