Advanced Mathematical Science for Mobility Society

This open access book presents the mathematical methods for huge data and network analysis. The automotive industry has made steady progress in technological innovations under the names of Connected Autonomous-Shared-Electric (CASE) and Mobility as a Service (MaaS). Needless to say, mathematics and...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Ikeda, Kazushi (Editor), Kawamura, Yoshiumi (Editor), Makino, Kazuhisa (Editor), Tsujimoto, Satoshi (Editor), Yamashita, Nobuo (Editor), Yoshizawa, Shintaro (Editor), Sumita, Hanna (Editor)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edition:1st ed. 2024.
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Table of Contents:
  • Part 1. Introduction, motivation, and direction for Advanced Mathematical Science for Mobility Society, together with the project between Toyota Motor Corporation and Kyoto University
  • Chapter 1. Advanced Mathematical Science for Mobility Society
  • Part 2. Mathematical models of flow Chapter. 2. Analysis of many-body particle systems by geometry and box-ball-system theory
  • Chapter 3. Discrete Integrable Systems, LR transformations and Box-Ball Systems
  • Part 3. Mathematical methods for huge data and network analysis
  • Chapter 4. Eigenvalue Analysis in Mobility Data
  • Chapter 5. Application of tensor network formalism for processing tensor data
  • Chapter 6. Machine Learning Approach to Mobility Analysis
  • Chapter 7. Graph optimization problems and algorithms for DAG-type blockchains
  • Part 4. Algorithm for mobility society
  • Chapter 8. Control and optimization of one-way car-sharing systems
  • Chapter 9. Algorithms for future mobility society Chapter 10. Mechanism Design for Mobility.