Journal of Intelligent Transportation Systems: Technology, Planning, and Operations

Aims & Scope

The Journal of Intelligent Transportation Systems is devoted to scholarly research on the development, planning, management, operation and evaluation of intelligent transportation systems.

Intelligent transportation systems are innovative solutions that address contemporary transportation problems.

They are characterized by information, dynamic feedback and automation that allow 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 the algorithms, databases, models and human interfaces.

The emergence of these technologies as a new pathway for transportation is relatively new.

The Journal of Intelligent Transportation Systems is especially interested in research that leads to improved planning and operation of the transportation system through the application of new technologies.

The journal is particularly interested in research that adds to the scientific understanding of the impacts that intelligent transportation systems can have on accessibility, congestion, pollution, safety, security, noise, and energy and resource consumption.

The journal is inter-disciplinary, and accepts work from fields of engineering, economics, planning, policy, business and management, as well as any other disciplines that contribute to the scientific understanding of intelligent transportation systems.

The journal is also multi-modal, and accepts work on intelligent transportation for all forms of ground, air and water transportation.

Example topics include the role of information systems in transportation, traffic flow and control, vehicle control, routing and scheduling, traveler response to dynamic information, planning for ITS innovations, evaluations of ITS field operational tests, ITS deployment experiences, automated highway systems, vehicle control systems, diffusion of ITS, and tools/software for analysis of ITS.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.8
2024	2.80

Journal Rank

Year	Value
2024	4356

Journal Citation Indicator

Year	Value
2024	779

SJR (SCImago Journal Rank)

Year	Value
2024	1.065

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	64

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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, Engineering and Mathematics, 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.

• Policy and society related implications of automated driving: A review of literature and directions for future research

  Citation: 728

  Authors: Dimitris, Bart, Bert

• Last Mile Distribution in Humanitarian Relief

  Citation: 419

  Authors: Burcu, Benita M., Karen

• Connected and automated vehicle systems: Introduction and overview

  Citation: 377

  Authors: Steven E.

• Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models

  Citation: 298

  Authors: Srinivasa Ravi, Haitham

• Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System

  Citation: 287

  Authors: Martin, Nicolas, Robert

• Bus Arrival Time Prediction Using Support Vector Machines

  Citation: 198

  Authors: Yu, Yang, Yao

• A Real-Time Parking Prediction System for Smart Cities

  Citation: 195

  Authors: Eleni I., Konstantinos, Vassileios, Matthew G.

• A High Accuracy Fuzzy Logic Based Map Matching Algorithm for Road Transport

  Citation: 189

  Authors: Mohammed A., Robert B., Washington Y.

• Cooperative Collision Warning Systems: Concept Definition and Experimental Implementation

  Citation: 171

  Authors: Raja, Shahram, Steven E., Delphine, Susan, Hariharan

• The Real–Time Stop–Skipping Problem

  Citation: 165

  Authors: AICHONG, MARK

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