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IEEE Intelligent Transportation Systems Magazine | 2024 Impact Factor:5 | Cite Score:11.5 | Q1

IEEE Intelligent Transportation Systems Magazine Journal

Impact Factor and Journal Rank of IEEE Intelligent Transportation Systems Magazine

  • About: IEEE Intelligent Transportation Systems Magazine is a peer-reviewed journal published by the IEEE. It focuses on research and developments in the field of intelligent transportation systems (ITS), providing a platform for scholars, researchers, practitioners, and policymakers to publish original research articles, reviews, and case studies that advance the understanding and application of intelligent transportation technologies and systems.
  • Objective: The primary objective of IEEE Intelligent Transportation Systems Magazine is to promote research and innovation in intelligent transportation systems. The journal aims to explore theories, methodologies, and applications that enhance the design, implementation, and management of ITS. By publishing high-quality research, the journal contributes to the advancement of intelligent transportation technologies and their practical applications, addressing contemporary challenges and opportunities in transportation systems worldwide.
  • Interdisciplinary Focus: IEEE Intelligent Transportation Systems Magazine adopts an interdisciplinary approach, welcoming contributions from various fields related to intelligent transportation systems, including but not limited to, Transportation Engineering, Electrical Engineering, Computer Science, Control Systems, Robotics, Urban Planning, Human Factors Engineering, Communications, Economics, Public Policy. This interdisciplinary perspective fosters collaboration and innovation, leading to the development of advanced theories and practices that address the complex dynamics of intelligent transportation systems.
  • Global Reach and Impact: With a broad international readership and authorship, IEEE Intelligent Transportation Systems Magazine has a global reach and impact. Its publications contribute to the dissemination of knowledge and advancements in intelligent transportation systems worldwide. The journal content influences both academic research and practical applications, driving progress in areas such as autonomous vehicles, traffic management, smart infrastructure, and public transportation systems.
  • High Standards and Rigorous Review: Maintaining high academic standards, IEEE Intelligent Transportation Systems Magazine conducts a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the field to ensure the quality, originality, and scientific rigor of the research. This stringent review process upholds the integrity and reputation of the journal, ensuring that only high-quality and impactful research is published.
  • Significance: IEEE Intelligent Transportation Systems Magazine plays a significant role in advancing research and practice in intelligent transportation systems. By providing a platform for the publication of cutting-edge research findings, the journal contributes to the growth of knowledge and innovation in ITS principles and practices. It serves as an essential resource for researchers, practitioners, and policymakers seeking to leverage intelligent transportation technologies to improve traffic safety, enhance mobility, reduce environmental impacts, and create efficient and sustainable transportation systems for the future.

  • Editor-in-Chief:  Yisheng Lv

  • Scope: The IEEE Intelligent Transportation Systems Magazine is a renowned peer-reviewed publication dedicated to the dissemination of innovative research and practical developments in the field of intelligent transportation systems (ITS). It provides a comprehensive platform for scholars, researchers, engineers, and practitioners to share their insights and advancements in ITS technologies and applications. Here is an overview of its key focus areas and scope:
  • 1. Advanced Traffic Management Systems:
    Research on the development and implementation of advanced traffic management systems (ATMS) that improve traffic flow, reduce congestion, and enhance road safety.
    Studies on traffic signal control, incident detection, and traffic prediction using intelligent algorithms and real-time data analytics.
  • 2. Intelligent Vehicles and Automated Driving:
    Exploration of technologies related to intelligent and autonomous vehicles, including sensor fusion, perception, decision-making, and control systems.
    Research on vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication for cooperative and automated driving solutions.
  • 3. Public Transportation Systems:
    Advancements in intelligent public transportation systems (IPTS) that enhance the efficiency, reliability, and user experience of public transit services.
    Studies on real-time passenger information systems, automated fare collection, and demand-responsive transit solutions.
  • 4. Transportation Network Optimization:
    Research on the optimization of transportation networks, including route planning, traffic assignment, and multi-modal transportation integration.
    Studies on the application of optimization algorithms and machine learning techniques to improve network performance and reduce travel times.
  • 5. Smart Mobility and Sustainable Transportation:
    Exploration of smart mobility solutions that promote sustainable transportation practices, reduce environmental impact, and support urban mobility planning.
    Research on electric vehicles, shared mobility services, and the integration of renewable energy sources into transportation systems.
  • 6. Safety and Security in Transportation:
    Studies on the enhancement of safety and security in transportation systems, including collision avoidance, driver assistance systems, and cybersecurity measures.
    Research on the analysis of accident data, safety-critical system design, and the development of standards and regulations for ITS safety.
  • 7. Intelligent Transportation Infrastructure:
    Advancements in the design and deployment of intelligent transportation infrastructure, such as smart traffic signals, connected roadways, and adaptive lighting systems.
    Research on infrastructure monitoring, maintenance, and the use of IoT technologies for real-time infrastructure management.
  • 8. Big Data and Analytics in Transportation:
    Exploration of big data analytics and data mining techniques for extracting actionable insights from transportation data.
    Studies on the use of data analytics for traffic forecasting, mobility pattern analysis, and transportation system optimization.
  • 9. Human Factors and User Experience:
    Research on human factors in ITS, including driver behavior, user acceptance, and the design of user-friendly interfaces for transportation systems.
    Studies on the impact of ITS technologies on user experience, accessibility, and inclusivity in transportation.
  • 10. Policy, Planning, and Societal Implications:
    Exploration of policy and planning issues related to the deployment of intelligent transportation systems, including regulatory frameworks, funding models, and public-private partnerships.
    Research on the societal implications of ITS, including the impact on employment, urban development, and quality of life.
  • Latest Research Topics for PhD in Vehicular Ad Hoc Networks
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  • Print ISSN:  19391390

    Electronic ISSN:  19411197

  • Abstracting and Indexing:  Scopus, Science Citation Index Expanded

  • Imapct Factor 2024:  5

  • Subject Area and Category:   Computer Science, Computer Science Applications , Engineering , Automotive Engineering , Mechanical Engineering

  • Publication Frequency:  

  • H Index:  63

  • Best Quartile:

    Q1:  Automotive Engineering

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  11.5

  • SNIP:  1.586

  • Journal Rank(SJR):  1.100