Reliability and Statistics in Transportation and Communication
Selected Papers from the 20th International Conference on Reliability and Statistics in Transportation and Communication, RelStat2020, 14-17 October 2020, Riga, Latvia
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Beschreibung
This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most noteworthy methods and results discussed at the International Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place remotely from Riga, Latvia, on October 14 – 17, 2020. It spans a broad spectrum of topics, from mathematical models and design methodologies, to software engineering, data security and financial issues, as well as practical problems in technical systems, such as transportation and telecommunications, and in engineering education.
This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most noteworthy methods and results discussed at the International Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place remotely from Riga, Latvia, on October 14 – 17, 2020. It spans a broad spectrum of topics, from mathematical models and design methodologies, to software engineering, data security and financial issues, as well as practical problems in technical systems, such as transportation and telecommunications, and in engineering education.
Reports on advances in the theory and practice of complex engineering systems Describes multidisciplinary approaches for reliability and dependability analysis Offers a timely snapshot on applications of intelligent transportation systems Highlights safety and sustainability issues
Autor*in
Igor Kabashkin
Themen in »Reliability and Statistics in Transportation and Communication«
Urban Traffic Modelling Monitoring of Transport Vehicles Digital learning systems IS for Aircraft Maintenance and Operation Unmanned vehicle movements Markov-modulated linear regression Natural language processing applications Collision avoidance systems Object segmentation sensor system AI for automation in logistics Dynamic flow modeling Machine learning for network security Logistic models for e-commerce Spatial decision supporting systems Optimizing Urban Logistics