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

Special Issue on Electric Vehicles and Charging Infrastructure: Technologies, Policies, and Operational Insights
Día de Entrega: 2026-06-01

IET 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,
Norway