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International Journal of Intelligent Transportation Systems Research - Springer | 2023 Impact Factor:11.0 | Cite Score:3.8 | Q2

International Journal of Intelligent Transportation Systems Research With Cite Score

Cite Score and Journal Rank of International Journal of Intelligent Transportation Systems Research

About:

International Journal of Intelligent Transportation Systems Research (IJITSR) is a peer-reviewed journal that publishes high-quality research on the design, development, and implementation of intelligent transportation systems (ITS). The journal covers a wide range of topics including traffic management, vehicle systems, public transportation, pedestrian safety, and infrastructure technology. IJITSR aims to advance the understanding and application of ITS technologies to improve the efficiency, safety, and sustainability of transportation systems.

Objective:

The primary objective of IJITSR is to promote the development and integration of intelligent transportation systems by publishing innovative research that addresses key challenges and opportunities in the field. The journal seeks to provide a comprehensive platform for the dissemination of cutting-edge research, methodologies, and practical applications that enhance the performance and safety of transportation networks. IJITSR aims to support researchers, engineers, and policymakers in the development and implementation of advanced transportation technologies.

Interdisciplinary Approach:

IJITSR adopts an interdisciplinary approach by incorporating research from fields such as engineering, computer science, urban planning, and environmental science. This approach ensures a holistic exploration of ITS from various perspectives, including technical, operational, and policy-related aspects. The journal encourages research that combines insights from multiple disciplines to address complex transportation challenges and develop innovative solutions for smarter and more efficient transportation systems.

Impact:

The journal has a significant impact on the field of intelligent transportation systems by providing a platform for the publication of pioneering research and practical applications. IJITSR is widely cited by researchers, engineers, and practitioners interested in the latest advancements in ITS. The research published in the journal contributes to the development and deployment of intelligent transportation technologies, enhancing the efficiency, safety, and sustainability of transportation systems worldwide.

Significance:

International Journal of Intelligent Transportation Systems Research plays a crucial role in advancing the understanding and application of intelligent transportation systems. Its focus on both theoretical and practical aspects of ITS makes it an essential resource for researchers, engineers, and policymakers. By facilitating the exchange of knowledge and ideas, IJITSR supports the continued innovation and enhancement of ITS technologies, ultimately contributing to the improvement of transportation systems and the quality of life for users.

Journal Home:  Journal Homepage

Editor-in-Chief:  Passakon Prathombutr

scope: The International Journal of Intelligent Transportation Systems Research focuses on the development and application of advanced technologies and systems in the transportation sector. Its scope includes, but is not limited to:

Intelligent Transportation Systems (ITS): Research on the design, implementation, and evaluation of ITS, including traffic management systems, public transportation systems, and smart infrastructure.

Connected and Autonomous Vehicles (CAV): Studies on the development, testing, and deployment of connected and autonomous vehicles, including vehicle-to-everything (V2X) communication, sensors, and control systems.

Traffic Flow and Management: Research on traffic flow theories, traffic modeling, simulation, and optimization techniques for improving traffic management and reducing congestion.

Public Transportation Systems: Contributions on the planning, operation, and optimization of public transportation systems, including buses, trains, and urban transit networks.

Safety and Security: Studies on enhancing the safety and security of transportation systems, including accident prevention, emergency response, and cybersecurity measures.

Smart Infrastructure: Research on the development of smart infrastructure, including intelligent traffic signals, smart highways, and sensor networks for monitoring and managing transportation systems.

Transportation Planning and Policy: Contributions on transportation planning, policy development, and the impact of ITS on urban planning and mobility.

Data Analytics and Machine Learning: Research on the application of data analytics, machine learning, and artificial intelligence in transportation systems for predictive modeling, pattern recognition, and decision support.

Mobility as a Service (MaaS): Studies on the integration of various transportation services into a single accessible on-demand mobility service, including ride-sharing, car-sharing, and micro-mobility solutions.

Environmental Impact: Research on the environmental impact of transportation systems and the development of sustainable and green transportation technologies.

Human Factors and Ergonomics: Contributions on the consideration of human factors in transportation system design, including driver behavior, user interfaces, and ergonomic design of vehicles and infrastructure.

Simulation and Modeling: Studies on the use of simulation and modeling techniques for analyzing and optimizing transportation systems and evaluating the impact of new technologies.

Wireless Communication and Networking: Research on wireless communication technologies and networking protocols for enabling vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication.

Electrification of Transportation: Contributions on the electrification of transportation systems, including electric vehicles, charging infrastructure, and the integration of renewable energy sources.

Print ISSN:  18688659

Electronic ISSN:  

Abstracting and Indexing:  Scopus

Imapct Factor 2023:  11.0

Subject Area and Category:   Computer Science, Computer Science Applications, Information Systems, Software, Engineering, Aerospace Engineering, Automotive Engineering, Control and Systems Engineering, Mathematics, Applied Mathematics, Neuroscience, Neuroscience (miscellaneous)

Publication Frequency:  

H Index:  24

Best Quartile:

Q1:  

Q2:  Aerospace Engineering

Q3:  

Q4:  

Cite Score:  3.8

SNIP:  0.858

Journal Rank(SJR):  0.402

Publisher:  Springer Verlag

Country:  Germany