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 Kabashkin, Igor. editor. edt http://id.loc.gov/vocabulary/relators/edt Yatskiv, Irina. editor. edt http://id.loc.gov/vocabulary/relators/edt Prentkovskis, Olegas. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access X, 630 p. 169 illus., 146 illus. in color. online resource. 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. edited by Igor Kabashkin, Irina Yatskiv, Olegas Prentkovskis. Computational intelligence Transportation engineering Traffic engineering Statistics  Computational Intelligence Transportation Technology and Traffic Engineering Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences Q342 9783031535987 https://doi.org/10.1007/978-3-031-53598-7 https://doi.org/10.1007/978-3-031-53598-7 240131 20251030111409.0 978-3-031-53598-7