Intelligent Transportation Systems and Sustainable Urban Traffic Management and Transportation Planning
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 71
Special Issue Editors
Interests: traffic and transportation theory; traffic analysis and control; transportation systems analysis and design; choice modelling
Special Issues, Collections and Topics in MDPI journals
Interests: autonomus vehicle; risk analysis; stochastic assignment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
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
- 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
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- sustainable urban systems
- ITS
- traffic management
- transportation planning
- traffic and transportation theory
- machine learning
- digital twins
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