IEEE Intelligent Transportation Systems Magazine

Aims & Scope

The IEEE Intelligent Transportation Systems Magazine (ITSM) publishes peer-reviewed articles that provide innovative research ideas and application results, report significant application case studies, and raise awareness of pressing research and application challenges in all areas of intelligent transportation systems.

In contrast to the highly academic publication of the IEEE Transactions on Intelligent Transportation Systems, the ITS Magazine focuses on providing needed information to all members of IEEE ITS society, serving as a dissemination vehicle for ITS Society members and the others to learn the state of the art development and progress on ITS research and applications.

High quality tutorials, surveys, successful implementations, technology reviews, lessons learned, policy and societal impacts, and ITS educational issues are published as well.

The ITS Magazine also serves as an ideal media communication vehicle between the governing body of ITS society and its membership and promotes ITS community development and growth.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	5
2024	4.30

SJR (SCImago Journal Rank)

Year	Value
2024	1.100

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	63

Journal Rank

Year	Value
2024	4136

Journal Citation Indicator

Year	Value
2024	1743

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Engineering, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• A Tutorial on Graph-Based SLAM

  Citation: 1037

  Authors: G, R, C, W

• Three Decades of Driver Assistance Systems: Review and Future Perspectives

  Citation: 710

  Authors: Klaus, Klaus, Berthold, Markus, Christoph, Hermann

• Making Bertha Drive—An Autonomous Journey on a Historic Route

  Citation: 704

  Authors: Julius, Philipp, Markus, Henning, Tobias, Christoph, Uwe, Nils, Christoph G., Eberhard, Ralf G., Clemens, David, Frank, Fridtjof, Friedrich, Markus, Carsten, Jochen, Martin, Maximilian, Carsten, Andreas, Mohammad, Markus, Armin, Hans, Horst, Martin, Eberhard

• Autonomous Vehicle Safety: An Interdisciplinary Challenge

  Citation: 486

  Authors: Philip, Michael

• Dynamical Modeling and Distributed Control of Connected and Automated Vehicles: Challenges and Opportunities

  Citation: 376

  Authors: Shengbo Eben, Yang, Keqiang, Yujia, J. Karl, Feng, Hongwei

• Vision Enhancement in Homogeneous and Heterogeneous Fog

  Citation: 351

  Authors: J-P, N., L., A., H., D.

• Road Traffic Forecasting: Recent Advances and New Challenges

  Citation: 302

  Authors: Ibai, Javier, Manuel, Eleni I.

• In the Passenger Seat: Investigating Ride Comfort Measures in Autonomous Cars

  Citation: 269

  Authors: Mohamed, Milan, Reza

• Driver Behavior Profiling Using Smartphones: A Low-Cost Platform for Driver Monitoring

  Citation: 269

  Authors: German, Thierry, Raphael, Thomas

• A Survey on Cooperative Longitudinal Motion Control of Multiple Connected and Automated Vehicles

  Citation: 265

  Authors: Ziran, Yougang, Steven E., Guoyuan, Shengbo Eben, Matthew J.

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