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Journal of Intelligent Transportation Systems - Taylor & Francis | 2025 Impact Factor:3.9 | Cite Score:10.0 | SCOPUS Q1

Journal of Intelligent Transportation Systems

Impact Factor and Journal Rank of Intelligent Transportation Systems

  • About: The Journal of Intelligent Transportation Systems provides a platform for the dissemination of research on the development and implementation of advanced technologies and systems that improve transportation safety, efficiency, and sustainability. The journal aims to bridge the gap between academic research and practical applications, fostering collaboration among researchers, engineers, and policymakers in the field of intelligent transportation systems (ITS).
  • Objective:
    The journal seeks to advance the understanding and development of intelligent transportation systems through the publication of high-quality research papers. It focuses on innovative solutions that address the challenges of modern transportation, including traffic management, vehicle automation, and infrastructure development.
  • Peer Review Process:
    The journal employs a rigorous peer-review process to ensure the publication of scientifically robust and relevant research. Each submission is evaluated by experts in the field, ensuring that only significant contributions to intelligent transportation systems are accepted.
  • Innovation and Impact:
    The journal highlights research that drives innovation in intelligent transportation technologies. It aims to impact the transportation industry by promoting advancements in traffic control systems, autonomous vehicles, smart infrastructure, and more.
  • Global Reach and Accessibility:
    With a diverse readership that includes researchers, practitioners, and policymakers from around the world, the journal ensures that cutting-edge ITS research is accessible to a global audience. It encourages the exchange of knowledge and ideas across different regions and disciplines.
  • Interdisciplinary Collaboration:
    Recognizing the multidisciplinary nature of ITS, the journal welcomes contributions from various fields, including computer science, engineering, urban planning, and public policy. This interdisciplinary approach enhances the development and deployment of comprehensive transportation solutions.
  • Practical Application and Management:
    In addition to theoretical research, the journal emphasizes the practical application of ITS technologies. It covers topics such as real-time traffic management, vehicle-to-infrastructure communication, and the integration of ITS into existing transportation systems, providing valuable insights for practitioners and decision-makers.

  • Editor-in-Chief:  Asad J. Khattak

  • Scope: The Journal of Intelligent Transportation Systems (JITS) is dedicated to publishing high-quality research on the development and application of intelligent transportation systems. The journal focuses on the use of advanced technologies and systems engineering concepts to solve transportation problems and improve the efficiency, safety, and sustainability of transportation systems. Key areas of interest include, but are not limited to:
  • Advanced Traffic Management Systems:
    Research on systems and technologies aimed at improving traffic flow and reducing congestion through real-time monitoring and control.
  • Intelligent Vehicles:
    Studies on the development and implementation of smart vehicles equipped with sensors, communication systems, and automation features to enhance safety and efficiency.
  • Public Transportation Systems:
    Innovative approaches to optimizing public transport operations and integrating them with other modes of transportation for seamless mobility.
  • Traveler Information Systems:
    Systems designed to provide real-time information to travelers, aiding in decision-making and route planning to improve travel experiences.
  • Transportation Safety and Security:
    Research focused on improving the safety and security of transportation systems through advanced technologies and risk management strategies.
  • Freight and Logistics Management:
    Studies on optimizing the movement of goods through intelligent logistics systems and technologies to enhance supply chain efficiency.
  • Infrastructure Management:
    Approaches to managing and maintaining transportation infrastructure using advanced monitoring and diagnostic technologies.
  • Data Analytics and Machine Learning:
    Application of data analytics, machine learning, and artificial intelligence to process transportation data and derive insights for better decision-making.
  • Environment and Energy:
    Research on reducing the environmental impact of transportation systems through sustainable practices and energy-efficient technologies.
  • Policy and Planning:
    Studies examining the impact of policies and planning strategies on the development and implementation of intelligent transportation systems.
  • Latest Research Topics for PhD in Vehicular Ad Hoc Networks
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  • Print ISSN:  1547-2450

    Electronic ISSN:  1547-2442

  • Abstracting and Indexing:  Scopus, Science Citation Index Expanded

  • Imapct Factor 2025:  3.9

  • Subject Area and Category:  Computer Science ,Computer Science Applications ,Information Systems,Software,Engineering, Aerospace Engineering,Automotive Engineering,Control and Systems Engineering Mathematics,Applied Mathematics

  • Publication Frequency:  

  • H Index:  66

  • Best Quartile:

    Q1:  Aerospace Engineering

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  10.0

  • SNIP:  1.686

  • Journal Rank(SJR):  0.986