The New Technologies and Applications on Intelligent Transportation Systems (ITS)
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".
Deadline for manuscript submissions: 15 April 2026 | Viewed by 15
Special Issue Editors
Interests: intelligent transportation systems; sensors; deep learning; urban mobility; smart cities
Interests: transportation; routing; intelligent transportation systems; transport ecology; mechanical systems
Special Issues, Collections and Topics in MDPI journals
Interests: transportation; transport engineering; intelligent transportation systems; logistics; optimization; supply chain; sustainability; human resources management; routing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue is focused on “The New Technologies and Applications on Intelligent Transportation Systems (ITS)”. In recent years, ITS have undergone transformative changes fueled by rapid developments in sensing and communication technologies, artificial intelligence, and big data analytics. These advancements have significantly enhanced transportation safety, efficiency, and sustainability. The integration of real-time data from heterogeneous sensors, combined with intelligent algorithms, enables dynamic traffic control, predictive maintenance, and improved user experiences for both public and private transportation. Moreover, the rise of autonomous vehicles and connected infrastructure demands robust, low-latency communication and reliable sensing solutions to ensure safe and efficient operation.
In recent years, intelligent transportation systems (ITS) have witnessed substantial growth due to advancements in AI, machine learning, Internet of Things (IoT), and big data analytics, significantly transforming urban mobility, infrastructure planning, and transport operations. The widespread adoption of connected and autonomous vehicles highlights the urgent need to address cybersecurity threats and ensure robust data privacy measures. Concurrently, the continuous rise of urban populations has stimulated research in real-time traffic management and predictive analytics, aiming to alleviate congestion, reduce emissions, and enhance overall transportation safety and efficiency. The integration of smart infrastructure with vehicle-to-everything (V2X) communication technologies has further emphasized the importance of developing interoperable and adaptive systems capable of managing diverse urban scenarios and user behaviors.
For this Special Issue, we invite original research and review papers describing state-of-the-art methods and innovative applications addressing the following topics:
- Advanced sensing technologies for vehicle, infrastructure, and traffic monitoring and control;
- V2X communication protocols and network optimization;
- AI and machine learning for traffic prediction and management;
- Autonomous and connected vehicle systems;
- Smart infrastructure integration and interoperability solutions;
- Edge computing and real-time data processing in ITS;
- Cybersecurity and privacy-preserving methods in transportation networks;
- Sustainable and energy-efficient ITS solutions;
- Human factors and user-centric design in ITS.
Dr. Metin Mutlu Aydın
Dr. Jonas Matijosius
Dr. Kristina Čižiūnienė
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
- intelligent transportation systems (ITS)
- new technologies in ITS
- deep learning
- artificial intelligence in transport
- ITS solutions
- smart traffic and infrastructure
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