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