Intelligent Transportation Systems and Sustainable Urban Traffic Management and Transportation Planning

Dear Colleagues,

This Special Issue focuses on intelligent transportation systems, specifically their role in supporting urban sustainability and how their integration into transportation networks can be effectively modeled.

Intelligent transportation systems (ITS) are based on information and communication technologies (ICT) in transportation. These systems—whether on-board vehicles or deployed on streets—include real-time traffic monitoring, traffic flow prediction, dynamic route planning, and public transport management. By integrating infrastructure, vehicles, and users, ITS serve as valuable tools for traffic and mobility management as well as transportation planning. Their primary goals are to improve efficiency, effectiveness, safety, and sustainability. Additional objectives include enhancing transit operations, multimodal connectivity, and emergency response.

Sustainable urban traffic management and transportation planning focus on managing traffic and designing transportation systems that balance mobility needs with environmental and social sustainability. Alongside the well-established tools of traffic and transportation theory, modern approaches now incorporate data-driven methods for short-term traffic prediction, digital twins for scenario assessment, machine learning algorithms, and more [1]. Papers addressing any of those topics, or comparing different approaches, will be well-suited for this Special Issue.

We look forward to receiving your contributions.

References

1. Son, H.; Jang, J.; Park, J.; Balog, A.; Ballantyne, P.; Kwon, H.R.; Singleton, A.; Hwang, J. Leveraging Advanced Technologies for (Smart) Transportation Planning: A Systematic Review. Sustainability, 2025, 17(5), 2245. https://doi.org/10.3390/su17052245

Prof. Giulio Erberto Cantarella
Dr. Orlando Giannattasio
Guest Editors

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