Autonomous Transportation Research（简称ATRes，ISSN 3050-8622，中文名《自主交通研究》）由武汉理工大学主办，水路交通控制全国重点实验室、国家水运安全工程技术研究中心、交通信息与安全教育部工程研究中心等协办，是科爱出版社出版发行的英文开放获取式学术期刊。中国工程院院士、武汉理工大学严新平教授和葡萄牙工程院院士、里斯本大学Carlos Guedes Soares教授担任主编。第一届编委会由来自中国、美国、英国、葡萄牙、法国、德国、波兰、意大利、新加坡、西班牙、比利时、澳大利亚、丹麦、巴西、土耳其等15个国家和地区的62名学者组成，包括国内外院士9人，国内编委34人，国际编委27人。拟于2025年9月出版首期。
ATRes专注运载装备（或系统）的自主化和陆地、水域、空中等各种交通运输系统的运行智能控制、人机协同控制等领域具有原创性、前瞻性的基础研究、关键技术与工程应用。聚焦智能、无人、自主运载装备（或系统）及相关交通系统的感知、决策、控制等方面的理论、方法、模型、算法和集成应用等学术研究成果，旨在促进自主交通研究的学术交流、推动自主交通系统发展。
Autonomous Transportation Research (ATRes, ISSN 3050-8622) is an open-access academic journal published in English. Sponsored by Wuhan University of Technology and co-sponsored by the State Key Laboratory of Maritime Technology and Safety, National Engineering Research Center for Water Transport Safety, and Engineering Research Center of Transportation Information and Safety, Ministry of Education, China, ATRes is published by KeAi Publishing. The Editors-in-Chief are Professor Xinping Yan in Wuhan University of Technology, Academician of the Chinese Academy of Engineering, and Professor Carlos Guedes Soares in University of Lisbon, Member of the Portuguese Academy of Engineering. The first editorial board is composed of 62 renowned scholars from 16 countries and regions, including China, US, UK, Portugal, France, Germany, Poland, Italy, Singapore, Spain, Belgium, Australia, Denmark, Brazil, Croatia, and Turkey. Among them, there are 9 domestic and international academicians, 34 domestic members, and 28 international members.
ATRes focuses on fundamental research, key technologies, and engineering applications with original, foresight and high academic value, addressing the autonomy of vehicles or systems, intelligent operation and control, human-machine collaborative control, and related fields across land, water, air, and other transportation systems. The scope includes academic research on theories, methods, models, algorithms, and integrated applications relevant to intelligent, unmanned, and autonomous vehicles or systems, as well as perception, decision-making, and control in transportation systems. It aims to promote academic exchange in autonomous transportation research and drive advancements in autonomous transportation systems.
