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Guest Editorial: Enhancing Safety in Connected Automated Vehicles (CAVs) for Mixed Traffic Environments

Chao Huang (The University of Adelaide), Igal Bilik (Ben-Gurion University of the Negev), Beatriz L. Boada (Universidad Carlos III de Madrid), Yue Huang (Commonwealth Scientific and Industrial Research Organisation, Data61)

IET Intelligent Transport Systems
License: CC BY

Abstract: Intelligent transportation systems (ITS) leverage information and communication technologies to enhance the efficiency, safety, and sustainability of road transportation.Connected vehicles play a crucial role in ITS as they enable communication with other vehicles and infrastructure, facilitating more efficient traffic management and safer driving experiences.They can provide real-time traffic information to help drivers avoid congestion and accidents, as well as navigation and route planning recommendations.Additionally, it can communicate with traffic signal equipment to optimise signal timing, reducing wait times and queue lengths.Implementation of connected vehicles in intelligent transportation systems will revolutionise the way we drive.However, many challenges need to be addressed to achieve maximum potential, including privacy and security issues, data processing and storage, the development of standards and regulations across all platforms, and the establishment of new communication protocols and system architectures.This Special Issue on Enhancing Safety in Connected Automated Vehicles (CAVs) for Mixed Traffic Environments of the IET INTELLIGENT TRANSPORT SYSTEMS presents recent progress in theories, methods, and applications addressing safety-critical challenges in autonomous and intelligent transportation systems.After a rigorous peer-review process, 12 papers were selected from a wide range of international submissions.The accepted papers are grouped into seven principal research themes, each reflecting a key aspect of the Special Issue's scope.

Published on 01 Jan. 2025