International Journal of Intelligent Transportation Systems Research
Published by Springer Nature
ISSN : 1348-8503 eISSN : 1868-8659
Abbreviation : Int. J. Intell. Transp. Syst. Res.
Aims & Scope
This journal is the only transportation journal to report on multi-disciplinary research efforts with the goal to discover solutions to difficult issues in the field.
It provides a platform to bring together researchers and specialists in the fields of transportation, electrical, mechanical and traffic engineering, as well as those in the areas of policy planning, economics, and psychology, for wide-ranging discussion about future transportation systems.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 1.5 |
2024 | 1.10 |
Journal Rank
Year | Value |
---|---|
2024 | 15233 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 310 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.347 |
Quartile
Year | Value |
---|---|
2024 | Q2 |
h-index
Year | Value |
---|---|
2024 | 26 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Engineering, Mathematics, Neuroscience and Social Sciences, designed to support cutting-edge academic discovery.
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.
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Driver Drowsiness Measurement Technologies: Current Research, Market Solutions, and Challenges
Citation: 71
Authors: M., A., V.
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A Covering Tour Approach for Disaster Relief Locating and Routing with Fuzzy Demand
Citation: 63
Authors: Alireza, Behnam
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An Approach to Intelligent Traffic Management System Using a Multi-agent System
Citation: 55
Authors: Hodjat, Ali
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A Multi-Modal Driver Fatigue and Distraction Assessment System
Citation: 51
Authors: Céline, Abdullah, Mohamed S., Fakhri
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Spatial-Temporal Daily Frequent Trip Pattern of Public Transport Passengers Using Smart Card Data
Citation: 45
Authors: Hiroaki, James, Tomoyuki
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Detection of Driving Events using Sensory Data on Smartphone
Citation: 41
Authors: Chalermpol, Thunyasit, Suttipong
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A Novel Framework for Efficient Mobility Data Verification in Vehicular Ad-hoc Networks
Citation: 36
Authors: Attila, Norbert, Hagen, Sorin A.
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An Improved Method to Calculate the Time-to-Collision of Two Vehicles
Citation: 35
Authors: Felipe, José Eugenio, Fernando