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.