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dc.contributor.editorIkeda, Kazushi
dc.contributor.editorKawamura, Yoshiumi
dc.contributor.editorMakino, Kazuhisa
dc.contributor.editorTsujimoto, Satoshi
dc.contributor.editorYamashita, Nobuo
dc.contributor.editorYoshizawa, Shintaro
dc.contributor.editorSumita, Hanna
dc.date.accessioned2024-05-23T07:48:33Z
dc.date.available2024-05-23T07:48:33Z
dc.date.issued2024
dc.identifierONIX_20240523_9789819997725_50
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/90475
dc.description.abstractThis 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 flow 2. Mathematical methodsfor huge data and network analysis 3. 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBJ Maths for engineers
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UN Databases
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNH Highway and traffic engineering
dc.subject.otherMobility society
dc.subject.otherMany-body particle systems
dc.subject.otherBox-ball systems
dc.subject.otherDiscrete integrable systems
dc.subject.otherLR transformations
dc.subject.otherCar-sharing systems
dc.subject.otherControl theory
dc.subject.otherBlockchains
dc.subject.otherEigenvalue analysis
dc.subject.otherTensor network formalism
dc.subject.otherMachine learning
dc.subject.otherNetwork algorithm
dc.subject.otherMechanism design
dc.titleAdvanced Mathematical Science for Mobility Society
dc.typebook
oapen.identifier.doi10.1007/978-981-99-9772-5
oapen.relation.isPublishedBy6c6992af-b843-4f46-859c-f6e9998e40d5
oapen.relation.isFundedByfcb58a39-3414-44da-80df-145bcfec84c8
oapen.relation.isbn9789819997725
oapen.relation.isbn9789819997718
oapen.imprintSpringer Nature Singapore
oapen.pages215
oapen.place.publicationSingapore
oapen.grant.number[...]


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