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Reliability and Statistics in Transportation and Communication

Selected Papers from the 19th International Conference on Reliability and Statistics in Transportation and Communication, RelStat’19, 16-19 October 2019, Riga, Latvia

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Igor Kabashkin

    1. Telematics and Logistics, Transport and Telecommunication Institute, Riga, Latvia

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    You can also search for this editor in PubMed   Google Scholar

  2. Irina Yatskiv

    1. Transport and Telecommunication Institute, Riga, Latvia

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    You can also search for this editor in PubMed   Google Scholar

  3. Olegas Prentkovskis

    1. Vilnius Gediminas Technical University, Vilnius, Lithuania

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  • 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)

Included in the following conference series:

Conference proceedings info: RelStat 2019.

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Table of contents (68 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Vehicle Absolute Ego-Localization from Vision, Using Only Pre-existing Geo-Referenced Panoramas

    • Fabien Moutarde, Guillaume Bresson, Li Yu, Cyril Joly
    Pages 1-11

  3. Pairwise-Constrained Deep Document Clustering

    • Maziar Moradi Fard, Thibaut Thonet, Eric Gaussier
    Pages 12-21

  4. Data Science in Transportation

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Combining LSTM Artificial Recurrent Neural Networks and Fractal Analysis for Inventory Dynamics Prediction

      • Ilya Jackson, Alexander Grakovski
      Pages 25-33

    3. Economic Efficiency of Data-Driven Fault Diagnosis and Prognosis Techniques in Maintenance and Repair Organizations

      • Roman Fedorov, Dmitry Pavlyuk
      Pages 34-43

    4. Methodology for Calculating ETL Indicators in the Process of Implementation of Aircraft Maintenance Information Systems

      • Maxim Pivovar, Boriss Misnevs, Irina Pticina
      Pages 44-53

    5. Aircraft Lifecycle Digital Twin for Defects Prediction Accuracy Improvement

      • Timur Tyncherov, Liubov Rozkova
      Pages 54-63

    6. Intellectual Environment as an Inventory Management Decision Support System for Aviation Maintenance: Methodology

      • Liubov Rozhkova, Timur Tyncherov
      Pages 64-70

    7. Defining the Proper Model for Aviation Spare Parts Forecast

      • Danila Larin, Jurijs Tolujevs
      Pages 71-79

    8. Make It Flat: Multidimensional Scaling of Citywide Traffic Data

      • Dmitry Pavlyuk
      Pages 80-89

    9. Neuroevolutionary Approach to Metamodeling of Production-Inventory Systems with Lost-Sales and Markovian Demand

      • Ilya Jackson
      Pages 90-99

    10. Markov-Modulated Processes, Their Applications and Big Data Cases: State of the Art

      • Nadezda Spiridovska
      Pages 100-109

    11. Analysis of Flow of Complex Messages Formed by Two Poisson Flows of Elementary Messages

      • Alexander Andronov, Iakov Dalinger
      Pages 110-118

    12. Two-Level Recursive Identification of Hammerstein System by Interaction Prediction Method

      • Zygmunt Hasiewicz, Grzegorz Mzyk
      Pages 119-129

    13. Using Clustering Algorithms to Identify Recreational Trips Within a Bike-Sharing System

      • Vitalii Naumov, Krystian Banet
      Pages 130-138

  5. Reliability in Transportation

    1. Front Matter

      Pages 139-139
      Download chapter PDF

    2. Formation and Distribution Flows of External Transport in the City

      • Mykhailo Krystopchuk, Svitlana Pashkevych, Igor Khitrov, Yevhen Tkhoruk
      Pages 141-150

    3. Static Approach for Solving the Problem of Cargo Weight Distribution on Vehicle’s Axles

      • Alexander Grakovski, Sergey Yunusov, Alexander Medvedev
      Pages 151-161

    4. Application of Deformation Sensors for Structural Health Monitoring of Transport Vehicles

      • Aleksey Mironov, Alexandrs Priklonskiy, Deniss Mironovs, Pavel Doronkin
      Pages 162-175
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Other volumes

  1. Reliability and Statistics in Transportation and Communication

Keywords

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. 

Editors and Affiliations

  • Telematics and Logistics, Transport and Telecommunication Institute, Riga, Latvia

    Igor Kabashkin

  • Transport and Telecommunication Institute, Riga, Latvia

    Irina Yatskiv

  • Vilnius Gediminas Technical University, Vilnius, Lithuania

    Olegas Prentkovskis

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