Guest Editors
Dr. Qiong Wu
Email: qiongwu@jiangnan.edu.cn
Affiliation: School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China
Homepage:
Research Interests: vehicular networks; autonomous driving communication technology; machine learning
Dr. Huiling Zhu
Email: h.zhu@kent.ac.uk
Affiliation: School of Engineering and Digital Arts, University of Kent, Canterbury, Kent CT2 7NT, UK
Homepage:
Research Interests: cooperative communications, vehicular communication, integrated sensing and communications, and machine learning in wireless communications
Dr. Estela Carmona Cejudo
Email: estela.carmona@i2cat.net
Affiliation: Software Networks Department, i2CAT Foundation, 08018 Barcelona, Spain
Homepage:
Research Interests: Edge/fog computing, network as a service architectures, network cloudification, vehicular networks, smart industry
Prof. Ke Xiong
Email: kxiong@bjtu.edu.cn
Affiliation: School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
Homepage:
Research Interests: wireless networks, next generation internet, Internet of Things, Wireless Communications
Summary
With the rapid advancement of artificial intelligence, the Internet of Things (IoT), big data, and 5G/6G communication technologies, global transportation systems are undergoing profound structural transformations. As the core direction of future transportation development, Intelligent Transportation Systems (ITS) leverage synergies among high-performance sensing, interconnected communication, and computing infrastructure to drive continuous evolution toward safer, smarter, greener, and more sustainable operations. Supported by Connected Vehicle Technologies (such as V2X, IoV, and C-V2X) - the critical enablers of ITS, a comprehensive smart transportation ecosystem has emerged, integrating vehicles, roads, and edge-cloud platforms. This foundation accelerates the large-scale deployment of autonomous driving technologies while transforming travel patterns and traffic governance frameworks.
Building on this progress, ITS development has expanded beyond traditional road transportation to encompass various domains, including vehicle-road coordination systems, autonomous driving solutions, intelligent rail transit networks, smart public transit dispatch, shared mobility platforms, non-motorized and pedestrian systems with integrated sensing capabilities, and so forth. Furthermore, ITS applications are extending to integrated transport modes such as aviation, maritime shipping, and high-speed rail, significantly enhancing urban transportation efficiency and accessibility. Concurrently, the low-altitude economy is emerging as a strategic new industry, with Advanced Air Mobility (AAM) pioneering novel models for future aerial transportation. Therefore, breaking through key bottlenecks—including air-ground collaborative operations, intelligent dispatch systems, and multi-system integration—to construct a multi-dimensional transportation network that efficiently couples ground and aerial systems has become both a frontier direction and core technical challenge for intelligent transportation and connected vehicle development.
This Special issue focuses on advanced networking technologies for Intelligent Transportation and Connected Vehicles, including but not limited to the following topics:
· V2X Networking Architecture and Protocol Design
· 6G Networking Technologies for V2X Scenarios
· Application of Network-as-a-Service Paradigms to ITS architectures and applications
· Communication-Traffic Collaborative Scheduling for Low-Altitude Traffic Applications
· Autonomous Driving and Cooperative Perception Technologies
· AI-Driven Traffic Flow Prediction, Optimization Control, and Green Mobility Solutions
· Edge-Cloud Computing, Edge AI and Task Offloading in Intelligent Transportation Systems
· Multi-Source Heterogeneous Traffic Data Fusion and Analytics
· Cybersecurity and Privacy Protection in Connected Vehicle Environments
· Intelligent Transportation Infrastructure and Digital Twin Technologies
· Coordinated Decision-Making and Scheduling Mechanisms for Cross-Domain Transportation Systems
Keywords
Intelligent Transportation; Connected Vehicles; Networking Technologies
Published Papers
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