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 Digital Twin Technologies in Intelligent Transportation
Submission Date: 2024-10-31

Due to the rapid increase in the global population, the essentiality of the industrial revolution has increased. Intelligent transportation and applications are gaining commercial viability. Smart transport systems offer significant opportunities for building sustainable cities. Research has shown that the incorporation of digital twin technologies helps develop intelligent transportation systems worldwide. The burgeoning digital twin technologies are state-of-the-art for developing intelligent transportation features with innovative ideas, techniques, and devices. The instantaneous information data collected in the virtual space is analyzed and monitored with digital twins to improve facilities, functionalities, and processes for safe and secure transportation. These operations of digital twin technologies enhance the intelligent transport system (ITS) with the integration of AI (Artificial Intelligence), VCC (Vehicular Cloud Computing), IoT (Internet of Things), software analytics, and ML (Machine Learning). The applications of digital twin technology include pliant sensors, intelligent sensors in traffic lights, contactless remittance systems, regulation of curbsides, bright buses with new innovative techniques for the expansion of automotive transportation.

Digital twin incorporated with ITS addresses the multifaceted security challenges of autonomous vehicle technology in smart cities to a greater extent. The advent of deep learning and AI-enabled techniques are found to be sub-divisions of the digital twin that provide data-driven intelligent transportation applications to increase safety and security in road transport. Furthermore, state-of-the-art blockchain technologies enable rapid freight management and tracking, which bestows prodigious means to enhance the efficiency of intelligent transportation. The execution of digital twins to ITS comprises wireless communication, inductive loop detection, CCTV security systems, car navigation, digital maps, weather forecasting, parking directions, and automobile control, which are beneficiary applications appreciably advanced in intelligent transportation systems. Digital twin technologies create a promising trend to strengthen the transport network in different situations.

The unbiased nature of smart transportation leads to reliability and secrecy issues, substantiation probity and privacy threats, high cost, and network failures. Researchers and scholars are welcome to present a research framework regarding this context.

Topics for this call for papers include but not restricted to:

    Current and future perspectives of digital twin technologies for intelligent transportation
    Effective measures to control the drawbacks of intelligent transportation
    Contributions of digital twin technologies for the transformation of a transportation system
    Emerging trends for the development of intelligent transport systems
    Limitations and challenges in implementing digital twin technologies in intelligent transportation
    Digital twin for smart transportation: objectives and applications
    Role of machine learning and software analytics in monitoring and controlling traffic congestion
    Need for sustainable policies and techniques to implement digital twin in intelligent transportation
    Benefits of sensors and wireless communication for enhanced smart transportation
    Digital twin technology in intelligent transportation: pros and cons

Guest Editors:

Francesco Flammini
Mälardalen University
Sweden

Gururaj H L
Manipal Institute of Technology
India

Dalibor Dobrilovic
University of Novi Sad
Serbia

V Janhavi
Vidyavardhaka College of Engineering
India

Qiudan Li
Chinese Academy of Sciences
China

Keywords: intelligent transportation; transport systems; traffic congestion

Special Issue on Enhancing Safety in Connected Automated Vehicles (CAVs) for Mixed Traffic Environments
Submission Date: 2024-10-31

Intelligent transportation systems (ITS) leverage information and communication technologies to enhance the efficiency, safety, and sustainability of road transportation. Connected automated vehicles (CAVs) play a crucial role in ITS implementation as they enable communication with other vehicles and infrastructure, facilitating more efficient traffic management and safer driving experiences. The implementation of connected vehicles in intelligent transportation systems will revolutionize driving. However, due to the progressive deployment of such promising technologies, mixed traffic - in which connected and automated vehicles (CAVs) with different levels of automation and traditional human-driven vehicles coexist - will persist for a long time.

Taking into account that CAVs will need to navigate mixed-traffic environments, there is a pressing need to address a multitude of challenges, of which safety is at the forefront. Safety serves as the bedrock of ITS, and corresponding safety measures, such as collision avoidance systems, robust cybersecurity protocols, and rigorous validation testing, are integral for ensuring the reliability and trustworthiness of CAVs. Additionally, safety-relevant interactions between CAVs with different levels of automation and connectivity, between CAVs and human-driven vehicles, and between CAVs and other road users (e.g., vulnerable road users) are vital for ensuring that CAVs proactively prevent accidents, protect road users, and enhance overall road safety. This special issue is dedicated to exploring progress on the use of CAVs in mixed-traffic environments, with a primary focus on safety. The guest editors encourage submission of research that seeks to enhance the comprehension and applications of CAVs, toward advancing progress in the field.

Topics for this call for papers include but not restricted to:

    Fault detection and diagnosis for CAVs under mixed traffic environments
    Emergency response systems for CAVs under mixed traffic environments
    Event detection based on V2V and V2I connectivity under mixed traffic environments
    Real-time collision avoidance systems for CAVs under mixed traffic environments
    User behaviour analysis for CAVs under mixed traffic environments
    Safety-critical decision-making for CAVs under mixed traffic environments
    Vehicle–pedestrian/vehicle/others interaction modelling for CAVs under mixed traffic environments
    Hazard perception and avoidance systems for CAVs under mixed traffic environments
    Testing, evaluation and verification for CAVs under mixed traffic environments

Guest Editors:

Chao Huang
The Hong Kong Polytechnic University
China

Igal Bilik
Ben-Gurion University of the Negev
Israel

Haiping Du
University of Wollongong
Australia

Beatriz L. Boada
University Carlos III de Madrid
Spain

Yue Huang
CSIRO's Data61
Australia

Special Issue on Advancing the Study of Intelligent Transport Systems: Selected Studies from the UTSG
Submission Date: 2025-03-31

Publication: This will be a Virtual Collection. Accepted papers will be published without delay while the Collection remains open for submissions until the deadline.

This issue of IET Intelligent Transport Systems will consist of 8-10 selected papers drawn from the 55th Annual Universities’ Transport Study Group Conference, hosted by Cardiff University in July 2023. The Annual International UTSG Conference is the largest academic transport event in the UK and Ireland. It is a forum where researchers come together to discuss research needs, research in progress and recent findings, and to give research students the opportunity to present papers on their work (utsg.net). We expect more than 80-100 papers to be submitted; the authors of the very best manuscripts that are aligned with the journal’s scope will be invited to have their papers considered for inclusion in this special issue. The papers submitted will be subject to a rigorous review process from the UTSG Executive Committee first and then from your typical review process. The papers of our special issue will reveal the range of academic research within the UTSG community, with differing research approaches and areas of study. The common denominator will be how the advancement of intelligent transport systems research is achieved; thus the title of the special issue. When we have the submissions available we will invite the very best papers to be submitted in IET Intelligent Transport Systems and hopefully we will be able to formulate a more tight thematic direction for the special issue. Our UTSG community will happily help us in building up the special issue by accepting and delivering promptly reviews.

Topics for this call for papers include but are not restricted to:

    Sustainable Traffic Solutions;
    Deployments with enabling technologies;
    Demonstrations and evaluation;
    Economic and behavioural analyses of ITS services and scenarios;
    Data integration and analytics;
    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;
    Demand management and electronic payment systems;
    Transport policy and institutional issues;
    Human machine interaction;
    Education, training and outreach.

Guest Editors:

Ioannis Kaparias
University of Southampton,
Southampton, United Kingdom

Alexandros Nikitas
University of Huddersfield,
Huddersfield, United Kingdom

Dimitris Potoglou
Cardiff University,
Cardiff, United Kingdom