Overview
- Covers methods for modeling and control of complex engineering systems
- Describes multidisciplinary approaches for reliability and dependability analysis
- Gives a special emphasis to applications of AI in transportation
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 640)
Included in the following conference series:
Conference proceedings info: RelStat 2022.
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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 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place on October 20 – 21, 2022, in Riga, Latvia, in hybrid mode. It spans a broad spectrum of advanced theories and methods, giving a special emphasis to the integration of artificial intelligent concepts into reliability approaches.
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Keywords
- Decision Support System with AI
- Autonomous Transportation Systems
- Inventory Management Systems
- 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
- Relstat-2022
Table of contents (47 papers)
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AI in Transportation
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Aviation
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Smart Logistics
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 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication: Artificial Intelligence in Transportation, RelStat-2022, October 20-21, 2022, Riga, Latvia
Editors: Igor Kabashkin, Irina Yatskiv, Olegas Prentkovskis
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-3-031-26655-3
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 2023
Softcover ISBN: 978-3-031-26654-6Published: 21 February 2023
eBook ISBN: 978-3-031-26655-3Published: 20 February 2023
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XII, 540
Number of Illustrations: 61 b/w illustrations, 154 illustrations in colour
Topics: Computational Intelligence, Transportation Technology and Traffic Engineering, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences