Reliability and Statistics in Transportation and Communication

1. Front Matter

   Pages i-xv

   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

      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

      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

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. 

• 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

• 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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