Advanced Mathematical Science for Mobility Society
- Indbinding:
- Hardback
- Sideantal:
- 212
- Udgivet:
- 23. april 2024
- Udgave:
- 2024
- 8-11 hverdage.
- 15. november 2024
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- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af 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 informatics are important to support such innovations. As the concept of cars and movement itself is diversifying, they are indispensable for grasping the essence of the future mobility society and building the foundation for the next generation. Based on this idea, Research unit named "Advanced Mathematical Science for Mobility Society" was established at Kyoto University as a base for envisioning a future mobility society in collaboration with researchers led by Toyota Motor Corporation and Kyoto University.
This book contains three main contents.
1. Mathematical models of flow2. Mathematical methodsfor huge data and network analysis3. Algorithm for mobility society
The first one discusses mathematical models of pedestrian and traffic flow, as they are important for preventing accidents and achieving efficient transportation. The authors mainly focus on global dynamics caused by the interaction of particles. The authors discuss many-body particle systems in terms of geometry and box-ball systems. The second one consists of four chapters and deals with mathematical technologies for handling huge data related to mobility from the viewpoints of machine learning, numerical analysis, and statistical physics, which also includes blockchain techniques. Finally, the authors discuss algorithmic issues on mobility society. By making use of car-sharing service as an example of mobility systems, the authors consider how to construct and analyze algorithms for mobility system from viewpoints of control, optimization, and AI.
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 informatics are important to support such innovations. As the concept of cars and movement itself is diversifying, they are indispensable for grasping the essence of the future mobility society and building the foundation for the next generation. Based on this idea, Research unit named "Advanced Mathematical Science for Mobility Society" was established at Kyoto University as a base for envisioning a future mobility society in collaboration with researchers led by Toyota Motor Corporation and Kyoto University.
This book contains three main contents.
1. Mathematical models of flow2. Mathematical methodsfor huge data and network analysis3. Algorithm for mobility society
The first one discusses mathematical models of pedestrian and traffic flow, as they are important for preventing accidents and achieving efficient transportation. The authors mainly focus on global dynamics caused by the interaction of particles. The authors discuss many-body particle systems in terms of geometry and box-ball systems. The second one consists of four chapters and deals with mathematical technologies for handling huge data related to mobility from the viewpoints of machine learning, numerical analysis, and statistical physics, which also includes blockchain techniques. Finally, the authors discuss algorithmic issues on mobility society. By making use of car-sharing service as an example of mobility systems, the authors consider how to construct and analyze algorithms for mobility system from viewpoints of control, optimization, and AI.
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Bogen Advanced Mathematical Science for Mobility Society findes i følgende kategorier:
- Business og læring > Computer og IT
- Business og læring > Videnskab
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- Lægevidenskab og sygepleje
- Matematik og naturvidenskab > Matematik > Anvendt matematik > Matematisk modellering
- Teknologi, ingeniørvidenskab og landbrug > Teknologi: generelle emner > Matematik for ingeniører
- Teknologi, ingeniørvidenskab og landbrug > Byggeteknik, landmåling og byggeri > Vejbygning og trafikingeniørfaget
- Databehandling og informationsteknologi > Databaser
- Databehandling og informationsteknologi > Informatik > Matematisk datateori
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