Modeling of Traffic Flow and Sustainable Safety Management for Automated Driving

Dear Colleagues,

Within transport sciences, great emphasis is placed on the transport infrastructure itself. Its use, efficiency, and control over traffic flow can be improved by using technological devices and advanced systems, also known as transport telematics or Intelligent Traffic Systems. One of the fundamental components of the use of transport infrastructure and the view of future development is traffic flow modeling and operation of autonomous vehicles. Furthermore, complex applications should be considered regarding the mobility solution design, operation, and maintenance. Intelligent Transport Systems also require high operation and maintenance costs, which is just as important as the development of new systems. The mobility should be solved with regard to actual conditions and boundaries such as tunnels, bridges, historical parts of the city, etc.

Due to the complexity, the application of automated driving vehicles should respect a wide range of technological aspects such as equipment on the roads, already implemented systems, traffic management, use of variable traffic signs, lighting, positioning methods, detection of traffic or unexpected events, energy consumption, traffic flow behavior, etc. This Special Issue also aims at the ethical, legal, and other aspects of the application of mobility with regard to the safety, reliability, modeling, and others with impact on autonomous mobility.

This Special Issue therefore welcomes research papers, experimental studies, test results, and new approaches in the field of sustainable autonomous mobility in terms of safety and traffic modeling.

Dr. Tomas Tichy
Dr. Jiri Broz
Dr. Jiri Ruzicka
Guest Editors

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• autonomous vehicles
• traffic flow analysis
• traffic safety
• telematics systems
• technological approaches
• traffic management and efficiency
• detection methods and devices
• newly adapted technologies (C-ITS, navigation systems) that are limited in autonomous operation
• its fire prevention measures, extraordinary events—floods, incident detection
• cybersecurity applications for autonomous operation