Intersection is a major source of traffic delays and accidents within modern transportation systems. Compared to signalized intersection management, autonomous intersection management (AIM) coordinates the intersection crossing at an individual vehicle level with additional flexibility. AIM can potentially eliminate stopping in intersection crossing due to traffic lights while maintaining a safe separation among conflicting movements. In this paper, the state-of-the-art AIM research among various disciplines (e.g., traffic engineering, control engineering) is surveyed from the perspective of three hierarchical layers: corridor coordination layer, intersection management layer, and vehicle control layer. The key aspects of AIM designs are discussed in details, including conflict detection schemes, priority rules, control centralization, computation complexity, etc. The potential improvements for AIM evaluation with the emphasis of realistic scenarios are provided. This survey serves as a comprehensive review of AIM design and provides promising directions for future research.
Data-driven and distributed governance of building facilities management using decentralized autonomous organization, digital twin, and large language models
School of Technology, Eastern Illinois University（东伊利诺伊大学技术学院）；Myers-Lawson School of Construction, Virginia Polytechnic Institute and State University（弗吉尼亚理工学院和州立大学迈尔斯-劳森建设学院）
COOR-PLT: A hierarchical control model for coordinating adaptive platoons of connected and autonomous vehicles at signal-free intersections based on deep reinforcement learning
Urban Swarms: A new approach for autonomous waste management
Massachusetts Institute of Technology（麻省理工学院）；University of Pisa（比萨大学）；Bruno Kessler Foundation（布鲁诺·凯斯勒基金会）；University of Florence（佛罗伦萨大学）；Université libre de Bruxelles（布鲁塞尔自由大学）
Decentralized traffic management of autonomous drones
Eötvös University of Budapest（布达佩斯厄特沃什大学）；MTA-ELTE Statistical and Biological Physics Research Group（匈牙利科学院-厄特沃什大学统计与生物物理研究组）；CollMot Robotics LLC（CollMot机器人有限责任公司）
