Sustainable Smart Urban Transport System

Dear Colleagues,

The research problems of smart urban transport systems, together with connected and automated vehicles (CAVs), have come to focus in recent decades, with many open issues in the field of environment sensing and understanding of decision making and control. In all these areas, strict safety requirements apply, and their environmental impact is also considerable. Therefore, the vehicles of the future need to interact cooperatively to achieve a reduction in ecological effects. The utilization of V2X communication and cloud computing also enables research on cooperative control design for multiple vehicles to achieve globally optimal traffic in terms of the above criteria.

This Special Issue invites all topic-related results addressing these challenges, such as environment perception, machine learning, model-driven decision-making methods, and the cooperative control of vehicle groups. Although most of the research focuses on autonomous cars, automated and energy-efficient solutions for all means of transportation are also welcome. Additionally, as the-machine learning-based approaches of self-driving vehicles require high computational resources and a large amount of data for testing and validation, the development of different frameworks, such as hardware-in-the-loop, simulations, and virtual and augmented reality, is also welcome.

Authors are invited to submit their work, such as original research articles, case studies, or surveys on the subject.

Prof. Dr. Péter Gáspár
Dr. Tamás Bécsi
Guest Editors

Manuscript Submission Information

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