Editors:
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
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 117)
Conference series link(s): RelStat: International Conference on Reliability and Statistics in Transportation and Communication
Conference proceedings info: RelStat 2019.
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Table of contents (68 papers)
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Front Matter
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Data Science in Transportation
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Front Matter
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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 noteworthy methods and results discussed at the International Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place in Riga, Latvia on October 16 – 19, 2019. 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.
Keywords
- Data-Driven Fault Diagnosis
- Bus electrification
- Image-like traffic representation
- Document clustering
- Vehicle ego-localization
- Inventory management
- Urban traffic modelling
- Airplane health management
- Maintenance information system
- Modernization of Transport Infrastructure
- Digital twin of aircraft systems
- Assessment of mobile learning
- Markov-modulated processes
- Life cycle models
- Bike-sharing systems
- Cargo weight distribution models
- Order picking systems
- Goods-to-person method
- Risk management in Sea ports
- Relstat-2019
Editors and Affiliations
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Telematics and Logistics, Transport and Telecommunication Institute, Riga, Latvia
Igor Kabashkin
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Transport and Telecommunication Institute, Riga, Latvia
Irina Yatskiv
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Vilnius Gediminas Technical University, Vilnius, Lithuania
Olegas Prentkovskis
Bibliographic Information
Book Title: Reliability and Statistics in Transportation and Communication
Book Subtitle: Selected Papers from the 19th International Conference on Reliability and Statistics in Transportation and Communication, RelStat’19, 16-19 October 2019, Riga, Latvia
Editors: Igor Kabashkin, Irina Yatskiv, Olegas Prentkovskis
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-3-030-44610-9
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-44609-3Published: 29 March 2020
eBook ISBN: 978-3-030-44610-9Published: 28 March 2020
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XV, 717
Number of Illustrations: 64 b/w illustrations, 188 illustrations in colour
Topics: Computational Intelligence, Transportation Technology and Traffic Engineering, Engineering Economics, Organization, Logistics, Marketing, Data Mining and Knowledge Discovery, Applied Statistics