New Insights for Scalable, Accurate, and Secured Intelligent Transportation Systems

Dear Colleagues,

This year (2022) marks the 30^th anniversary of the 1992 United Nation’s Earth Summit, in which the role of transport in sustainable development was recognized. Sustainable transport requires the solid foundation of an intelligent transportation systems (ITS), for which the 2030 Agenda for Sustainable Development, United Nations, has laid out a global vision. ITSs contribute to Sustainable Development Goals 3, 9, and 11.

A successful migration of an intelligent system comprises the following: (i) scalability: the ITS should be capable of collecting ever-growing transportation data to improve the performance and maintain the relevancy of existing models; (ii) accuracy: ITS applications can only benefit the general public if they are highly accurate, which simultaneously ensures high social acceptance; and (iii) security: the data and systems must be protected from intrusions, breaches, and threats to maintain accessibility, confidentiality, and integrity.

This Special Issue will present high-quality research on scalability, accuracy, and/or security-oriented research intelligent transportation systems, with a focus on state-of-the-art theories, methodologies, and systems for the design, development, deployment, and innovative use of artificial intelligence for applications in intelligent transportation systems. Topics of interest include, but are not limited to, the following:

• Artificial intelligence;
• Autonomous driving;
• Big data;
• Deep learning;
• Distracted driving;
• Drowsy driving;
• Electric vehicles;
• Network security;
• Internet of Things;
• Machine learning;
• Optimization;
• Predictive modeling;
• Stressed driving;
• Traffic monitoring, control, and management;
• Wireless sensor networks.

Dr. Kwok Tai Chui
Prof. Dr. Brij B. Gupta
Guest Editors

Manuscript Submission Information

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• artificial intelligence
• autonomous driving
• big data
• deep learning
• distracted driving
• drowsy driving
• electric vehicles
• network security
• internet of things
• machine learning
• optimization
• predictive modeling
• stressed driving
• traffic monitoring, control, and management
• wireless sensor networks