Overview
- Covers methods for modeling and control of complex engineering systems
- Describes multidisciplinary approaches for reliability and dependability analysis
- Gives a special emphasis to digitalization of and AI applications in transportation
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 913)
Included in the following conference series:
Conference proceedings info: RelStat 2023.
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About this book
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 relevant findings discussed at the 23rd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication (RelStat 2023), which took place as a hybrid event on October 19 – 21, 2023, in/from Riga, Latvia. It spans a broad spectrum of advanced theories and methods, giving a special emphasis to the digitalization of transport systems, as well as smart, artificial intelligence, and digital twins applications.
Keywords
- Decision Support System with AI
- Autonomous Transportation Systems
- Digitalization of Transportation
- Intelligent Monitoring Systems
- Predictive Maintenance Methods
- Sustainable Supply Chain Management
- Sustainable Transport Logistics
- Mobility and Social Responsibility
- Pollution Monitoring Systems
- Regional Development Models
- Digital Education
- Smart Transportation
- Relstat-2023
Table of contents (55 papers)
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Plenary Session
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Smart Solutions in Transport Systems
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Sustainable Transportation
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Artificial Intelligence Applications
Other volumes
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Reliability and Statistics in Transportation and Communication
Editors and Affiliations
Bibliographic Information
Book Title: Reliability and Statistics in Transportation and Communication
Book Subtitle: Selected Papers from the 23rd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication: Digital Twins - From Development to Application, RelStat-2023, October 19-21, 2023, Riga, Latvia
Editors: Igor Kabashkin, Irina Yatskiv, Olegas Prentkovskis
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-3-031-53598-7
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Softcover ISBN: 978-3-031-53597-0Published: 01 February 2024
eBook ISBN: 978-3-031-53598-7Published: 31 January 2024
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: X, 630
Number of Illustrations: 23 b/w illustrations, 146 illustrations in colour
Topics: Computational Intelligence, Transportation Technology and Traffic Engineering, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences