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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| Other Authors: | , , , , , , |
| Format: | eBook |
| Language: | English |
| Published: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
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| Edition: | 1st ed. 2024. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
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.