Next-Generation Intelligent Transportation Systems
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 30 October 2026 | Viewed by 466
Special Issue Editors
Interests: link performance function modeling; traffic flow theory; traffic demand management; traffic big data and machine learning; electrical vehicle; connected automated vehicle; intelligent transportation systems; public transit; physical-informed neural network
Special Issues, Collections and Topics in MDPI journals
Interests: transportation management and planning; travel demand modeling; transportation system optimization; supply chain management; logistics system design; and railway operations
Special Issues, Collections and Topics in MDPI journals
Interests: traffic safety; transportation engineering; digital transportation; traffic big data; intelligent transportation systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The transportation domain is experiencing a profound transformation driven by rapid advancements in Vehicle-to-Everything (V2X) communication, 5G/6G connectivity, artificial intelligence, edge computing, and digital-twin technologies. The next generation of Intelligent Transportation Systems (ITSs) is evolving beyond the isolated optimization of vehicles or infrastructure toward a fully integrated, cooperative, and adaptive ecosystem. These systems aim not only to mitigate conventional challenges such as congestion, safety, and emissions but also to support emerging applications in automated driving, cooperative vehicle–infrastructure control, public transit optimization, transportation network modeling, and smart mobility management for sustainable urban development.
This Special Issue seeks to present cutting-edge research that advances next-generation ITSs in terms of communication architectures, sensing and data fusion, intelligent control, coordinated scheduling, cybersecurity and privacy, sustainability, multi-modal integration, data-driven traffic prediction, digital-twin modeling, vehicular and edge intelligence, and cooperative decision making. We welcome contributions including theoretical developments, system design, prototype implementation, simulation and experimental validation, and policy and standardization perspectives. The goal is to provide a multidisciplinary forum that fosters innovative ideas and technologies for building efficient, safe, green, and human-centered transportation infrastructures of the future.
Dr. Yuyan Pan
Dr. Xin Wu
Dr. Fangtong Jiao
Guest Editors
Manuscript Submission Information
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Keywords
- intelligent transportation systems (ITSs)
- highway and tunnel traffic applications
- connected and automated vehicles (CAVs)
- transit optimization
- digital twin and edge computing
- AI-driven traffic prediction
- cooperative vehicle–infrastructure systems
- sustainable and smart mobility
- multimodal transportation integration
- next-generation traffic management
- autonomous transportation systems
- digital transportation and big data
- traffic safety
- urban air mobility operations
- on-demand transit
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