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Reliability and Statistics in Transportation and Communication 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 / [electronic resource] : edited by Igor Kabashkin, Irina Yatskiv, Olegas Prentkovskis. - 1st ed. 2024. - X, 630 p. 169 illus., 146 illus. in color. online resource. - Lecture Notes in Networks and Systems, 913 2367-3389 ; . - Lecture Notes in Networks and Systems, 913 .

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.

ISBN: 9783031535987

Subjects--Topical Terms:
Computational intelligence.
Transportation engineering.
Traffic engineering.
Statistics .
Computational Intelligence.
Transportation Technology and Traffic Engineering.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

LC Class. No.: Q342

Dewey Class. No.: 006.3