Journal of Intelligent Transportation Systems

The Journal of Intelligent Transportation Systems is devoted to scholarly research on the development, planning, management, operation and evaluation of intelligent transportation systems. Intelligent transportation systems are innovative solutions that address contemporary transportation problems. They are characterized by information, dynamic feedback and automation that allow people and goods to move efficiently. They encompass the full scope of information technologies used in transportation, including control, computation and communication, as well as the algorithms, databases, models and human interfaces. The emergence of these technologies as a new pathway for transportation is relatively new. The Journal of Intelligent Transportation Systems is especially interested in research that leads to improved planning and operation of the transportation system through the application of new technologies. The journal is particularly interested in research that adds to the scientific understanding of the impacts that intelligent transportation systems can have on accessibility, congestion, pollution, safety, security, noise, and energy and resource consumption. The journal is inter-disciplinary, and accepts work from fields of engineering, economics, planning, policy, business and management, as well as any other disciplines that contribute to the scientific understanding of intelligent transportation systems. The journal is also multi-modal, and accepts work on intelligent transportation for all forms of ground, air and water transportation. Example topics include the role of information systems in transportation, traffic flow and control, vehicle control, routing and scheduling, traveler response to dynamic information, planning for ITS innovations, evaluations of ITS field operational tests, ITS deployment experiences, automated highway systems, vehicle control systems, diffusion of ITS, and tools/software for analysis of ITS. The Journal of Intelligent Transportation Systems welcomes submissions of survey/overview articles that summarize and organize recent research results in a particular area of intelligent transportation systems. A survey article should synthesize the knowledge of a topic area in a way that not only offers rapid access to scattered materials, but also adds understanding to work in the field. Meta analysis techniques that integrate results from different studies are encouraged. Ideally, a survey article should also develop a future perspective that is useful to researchers and practitioners. The authors of a survey article should have a demonstrated research record on the topic area. Authors interested in preparing a manuscript of survey articles are encouraged to contact the associate editor for review papers, Prof. Henry Liu (henryliu@umn.edu) or the journal editor, Prof. Asad Khattak (akhattak@odu.edu) with a title and a brief abstract, along with a CV demonstrating relevant expertise. All articles appearing in the Journal of Intelligent Transportation Systems undergo a rigorous peer review, based on initial editor screening and at least two anonymous peer reviewers providing comments.

Journal of Intelligent Transportation Systems期刊中文简介

《智能交通系统杂志》致力于对智能交通系统的开发、规划、管理、运行和评估进行学术研究。智能交通系统是解决当代交通问题的创新解决方案。它们的特点是信息、动态反馈和自动化，使人和货物能够高效移动。它们包括用于交通运输的全部信息技术，包括控制、计算和通信，以及算法、数据库、模型和人机界面。这些技术作为一种新的交通方式的出现是相对较新的。《智能交通系统杂志》特别关注通过应用新技术改进交通系统规划和运行的研究。该杂志特别感兴趣的研究，增加了科学理解的影响，智能交通系统可以有无障碍，拥堵，污染，安全，安全，噪音，能源和资源消耗。该杂志是跨学科的，并接受来自工程、经济、规划、政策、商业和管理等领域的工作，以及任何其他有助于科学理解智能交通系统的学科。期刊也是一家多式联运公司，接受各种形式的地面、空中和水上运输的智能运输工作。示例主题包括信息系统在交通、交通流和控制、车辆控制、路线和调度中的作用、出行者对动态信息的反应、创新计划、现场运行测试评估、部署经验、自动公路系统、车辆控制系统、交通流和控制的扩散以及分析ITS的工具/软件。《智能交通系统杂志》欢迎提交调查/综述文章，总结和组织智能交通系统特定领域的最新研究成果。一篇调查文章应该以一种方式综合一个主题领域的知识，不仅可以提供对分散材料的快速访问，还可以增加对该领域工作的理解。鼓励采用综合不同研究结果的元分析技术。理想情况下，一篇调查文章也应该发展一个对研究人员和从业者有用的未来视角。调查文章的作者应该有一份关于主题领域的示范研究记录。希望有兴趣编写调查文章手稿的作者，请与审查论文副主编刘亨利教授（henry liu@umn.edu）或期刊编辑阿萨德·卡塔克教授（a khattak@odu.edu）联系，并附上标题和摘要，以及证明相关专业知识的简历。《智能交通系统杂志》上刊登的所有文章都经过严格的同行评审，评审的基础是最初的编辑筛选，至少有两位匿名同行评审员提供了评论。