Journal Information
IET Intelligent Transport Systems
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Impact Factor: |
2.5 |
Publisher: |
IET |
ISSN: |
1751-956X |
Viewed: |
31341 |
Tracked: |
6 |
Call For Papers
Aims and Scope
IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of intelligent transport systems and infrastructures.
The scope of the journal includes the following:
Sustainable Traffic Solutions
Deployments with enabling technologies
Pervasive Monitoring Applications
Demonstrations and evaluation
Economic and behavioural analyses of ITS services and scenarios
Data Integration and analytics
Information collection and processing
Image processing applications in ITS
ITS aspects of electric vehicles
Intelligent/Autonomous Vehicles
Connected Vehicle Systems
In-vehicle ITS, safety and vulnerable road user aspects
Mobility as a Service Systems
Traffic management and control
Public transport systems technologies
Fleet and public transport logistics
Emergency and incident management
Demand management and electronic payment systems
Traffic related Air Pollution Management
Policy and institutional issues
Interoperability, standards and architectures
Funding scenarios
Enforcement
Human machine interaction
Education, training and outreach
IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of intelligent transport systems and infrastructures.
The scope of the journal includes the following:
Sustainable Traffic Solutions
Deployments with enabling technologies
Pervasive Monitoring Applications
Demonstrations and evaluation
Economic and behavioural analyses of ITS services and scenarios
Data Integration and analytics
Information collection and processing
Image processing applications in ITS
ITS aspects of electric vehicles
Intelligent/Autonomous Vehicles
Connected Vehicle Systems
In-vehicle ITS, safety and vulnerable road user aspects
Mobility as a Service Systems
Traffic management and control
Public transport systems technologies
Fleet and public transport logistics
Emergency and incident management
Demand management and electronic payment systems
Traffic related Air Pollution Management
Policy and institutional issues
Interoperability, standards and architectures
Funding scenarios
Enforcement
Human machine interaction
Education, training and outreach
Last updated by Dou Sun in 2026-01-09
Special Issues
Special Issue on Towards 6G connected Intelligent Transport SystemsSubmission Date: 2026-03-31The upcoming 6G era of cellular connectivity promises transformative advancements for Intelligent Transport Systems (ITS), providing ultra-reliable, low-latency, and high-capacity communication solutions that enable real-time, data-driven decision-making for connected and autonomous vehicles. This Special Issue focuses on exploring the integration of 6G into ITS, aiming to support new applications in connected mobility, infrastructure-vehicle communications (V2I), and vehicle-to-vehicle (V2V) interactions that address safety, traffic efficiency, and environmental sustainability. We invite high-quality original research, review or industry contributions that explore the integration of 6G into ITS to tackle key challenges in connectivity, including stringent latency, Quality of Service (QoS), and seamless data integration. Suitable topics include, but are not limited to, innovations in physical-layer communications, localization and sensing for smart mobility, network architecture, resource management for autonomous driving, and energyefficient connectivity solutions, cooperative applications for advanced ITS services. Submissions should include theoretical or practical analyses validated by simulations or real testbeds and should highlight the contributions to 6G-enabled vehicular communications aimed at road safety, congestion management, or reduced emissions
Topics for this call for papers include but are not restricted to:
6G vehicular communications for next-generation transport systems
Beyond 5G and 6G networks for vehicular applications
Artificial Intelligence-enabled vehicular communications and applications
Millimetre-wave and terahertz communications for vehicular communications, including channel estimation or reconstruction
Multi-antenna technologies in vehicular communications
Ultra-low latency and high-reliability V2X communications
Energy-efficient and green connectivity solutions for ITS
Localization, tracking and sensing for cooperative vehicular applications
Integrated sensing and communications for vehicular sensor networks
Guest Editors:
Carmen Botella-Mascarell (Lead)
Universitat de València
Spain
Sandra Roger
Universitat de València
Spain
David García-Roger
Universitat de València
Spain
Mattia Brambilla
Politecnico di Milano
Italy
Anna Guerra
Università di Bologna
Italy
Alessio Fascista
Politecnico di Bari
ItalyLast updated by Dou Sun in 2026-01-09
Special Issue on Electric Vehicles and Charging Infrastructure: Technologies, Policies, and Operational InsightsSubmission Date: 2026-06-01IET Intelligent Transport Systems invites submissions for this Special Issue focused on EVs and their supporting charging infrastructure. Submitted papers must be original and not under review by other journals or conferences. All manuscripts will undergo a rigorous peer-review process to ensure technical quality. We welcome high-quality research and review articles on topics including, but not limited to:
Planning, siting, and optimization of EV charging infrastructure;
Charging impacts on traffic flow, congestion, energy systems, and safety;
Charging infrastructure in vehicle-to-grid (V2G) and smart grid integration;
Simulation-based analysis of EV energy and traffic performance;
Interoperability, system reliability, and charging station maintenance strategies;
Safe operation, maintenance, and interaction of EVs with users, infrastructure, and other road users;
Cybersecurity vulnerabilities in EV charging infrastructure and their safety implications;
Travel pattern shifts due to home, workplace, and public charging access;
Spatial-temporal modelling of EV charging demand under different adoption scenarios;
Behavioural modelling of how charging accessibility influences EV purchase decisions;
Application of digital twins to simulate EV infrastructure-adoption interactions;
Rural vs. urban disparities in EV adoption and infrastructure access;
Psychological and behavioural factors in EV adoption and charging decisions;
Influence of charging availability on travel behaviour, routing, and trip timing;
Economic evaluation of EV infrastructure and cost-benefit analyses;
Workforce development, skill gaps, and maintenance challenges in charging infrastructure operations;
Development and challenges of commercial electric vehicle (e.g., truck, bus).
Guest Editors:
Li Zhao (Lead)
University of Nebraska-Lincoln,
USA
Jason Hawkins
University of Calgary,
Canada
Chenhui Liu
Hunan University,
China
Chaoru Lu
Oslo Metropolitan University,
NorwayLast updated by Dou Sun in 2026-01-09
Related Journals
| CCF | Full Name | Impact Factor | Publisher | ISSN |
|---|---|---|---|---|
| b | IEEE Transactions on Intelligent Transportation Systems | 8.4 | IEEE | 1524-9050 |
| IEEE Intelligent Systems | 6.1 | IEEE | 1541-1672 | |
| IEEE Open Journal of Intelligent Transportation Systems | 5.3 | IEEE | 2687-7813 | |
| IEEE Intelligent Transportation Systems Magazine | 5.1 | IEEE | 1939-1390 | |
| Chemometrics and Intelligent Laboratory Systems | 3.8 | Elsevier | 0169-7439 | |
| c | Journal of Intelligent Information Systems | 3.4 | Springer | 0925-9902 |
| Journal of Intelligent Transportation Systems | 2.8 | Taylor & Francis | 1547-2450 | |
| Journal of Intelligent & Robotic Systems | 2.8 | Springer | 0921-0296 | |
| c | IET Intelligent Transport Systems | 2.5 | IET | 1751-956X |
| Journal of Intelligent & Fuzzy Systems | 1.0 | IOS Press | 1064-1246 |
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