Aims and scope

The Journal of Intelligent Transportation Systems is devoted to scholarly research on developing, planning, managing, operating, and evaluating intelligent transportation systems. Intelligent transportation systems are innovative solutions that address contemporary transportation problems. They are characterized by information exchange, connectivity, dynamic feedback, and automation, allowing 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 algorithms, databases, models, simulations, and human interfaces.

The Journal of Intelligent Transportation Systems is especially interested in research on emerging technologies that lead to improved planning and operational performance of the transportation system. The journal is particularly interested in impactful research that adds to the scientific understanding of intelligent transportation systems' impacts on mobility, safety, energy consumption, and emissions. The journal is interdisciplinary and accepts work from engineering, planning, and other disciplines contributing to the scientific understanding of intelligent transportation systems. The journal is also multi-modal and accepts work on intelligent transportation for all ground transportation modes. Example topics include the role of emerging technologies in transportation, traffic flow and management, vehicle control, routing and scheduling, traveler response to technologies, planning for ITS innovations, evaluations of ITS field operational tests, connected and automated vehicles, technologies for vulnerable road users, public transportation, commercial vehicles, and tools/software for analysis of ITS, including artificial intelligence and machine learning techniques.

Review Articles. The Journal of Intelligent Transportation Systems will consider, in rare cases, review 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 offers rapid access to scattered materials and adds understanding to work in the field. Meta-analysis and text-mining techniques that integrate results from different studies are encouraged. Ideally, a survey article should also develop a future perspective 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 strongly encouraged to contact the journal editor, Prof. Asad Khattak (akhattak@utk.edu), with a title, a brief abstract, contributions to the Journal of ITS, and a CV demonstrating relevant expertise.

Special Issue Proposals. The Journal of Intelligent Transportation Systems will consider, in rare cases, special issue proposals. Individuals interested in proposal preparation should have already contributed substantially to the Journal of ITS. They are strongly encouraged to contact the journal editor, Prof. Asad Khattak (akhattak@utk.edu), with a title, brief abstract, and CV demonstrating relevant expertise.

Note: 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.

Publication office: Taylor & Francis, Inc., 530 Walnut Street, Suite 850, Philadelphia, PA 19106