Secure AI for Transportation Engineering towards Cost-Effective and Sustainable Intelligent Transportation Systems
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".
Deadline for manuscript submissions: closed (15 March 2023) | Viewed by 2121
Special Issue Editor
Special Issue Information
Dear Colleagues,
1) Introduction: Artificial intelligence is changing the transport sector in a variety of ways. It is already seen in many aspects, including facilitating developments in autonomous cars, trains, ships and airplanes; traffic flow management and so on. The ultimate goal is to empower all transport modes to be safer, cleaner, smarter, and more efficient, and thus to help reduce human errors and enabling a sustainable ecosystem. At the same time, the transportation industry has also undergone multiple changes and revolutions over the last few hundred years. The recent developments in applications with artificial intelligence include self-driving vehicles, traffic detection, pedestrian detection, traffic flow analysis, computer-vision-powered parking management, automatic traffic incident detection; and so on. However, the assistance from computers and the designed algorithms could subsequently increase new challenges, such as congestion and air pollution. Meanwhile, cyber security and data privacy are also of particular importance in the development of AI in such automated systems, including vehicles.
2) Aim of the Special issue and how the subject relates to the journal scope. The focus of this Special Issue is the development of cost-effective and sustainable intelligent transportation systems. There have been emerging efforts to ensure such intelligent systems act and maintain in a sustainable and secure manner. This Special Issue aims to share innovative ideas about the integration of transportation systems with secure artificial intelligence models and algorithms. The Special Issue will address the current research gap with emerging ideas and research efforts.
We look forward to receiving your contributions.
Dr. Huaming Chen
Guest Editor
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Keywords
- AI security
- Transportation systems
- Autonomous vehicles
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