Advanced Mathematical Science for Mobility Society
暫譯: 移動社會的高級數學科學
Ikeda, Kazushi, Kawamura, Yoshiumi, Makino, Kazuhisa
- 出版商: Springer
- 出版日期: 2025-03-15
- 售價: $2,050
- 貴賓價: 9.5 折 $1,948
- 語言: 英文
- 頁數: 215
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9819997747
- ISBN-13: 9789819997749
海外代購書籍(需單獨結帳)
商品描述
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.
商品描述(中文翻譯)
這本開放存取的書籍介紹了用於大數據和網絡分析的數學方法。汽車產業在「連接自動化-共享-電動」（Connected Autonomous-Shared-Electric, CASE）和「作為服務的移動性」（Mobility as a Service, MaaS）等名義下，在技術創新方面穩步進展。毋庸置疑，數學和資訊科學對於支持這些創新至關重要。隨著汽車和移動概念的多樣化，它們對於理解未來移動社會的本質以及建立下一代的基礎是不可或缺的。基於這一理念，京都大學成立了名為「移動社會的先進數學科學」的研究單位，作為與豐田汽車公司和京都大學的研究人員合作，展望未來移動社會的基地。
本書包含三個主要內容：
1. 流動的數學模型
2. 用於大數據和網絡分析的數學方法
3. 移動社會的算法
第一部分討論了行人和交通流的數學模型，因為這對於防止事故和實現高效交通至關重要。作者主要關注由粒子互動引起的全球動態。作者從幾何學和箱球系統的角度討論多體粒子系統。第二部分由四章組成，處理與移動性相關的大數據的數學技術，從機器學習、數值分析和統計物理的角度出發，還包括區塊鏈技術。最後，作者討論了移動社會的算法問題。通過以共享汽車服務作為移動系統的例子，作者考慮如何從控制、優化和人工智慧的角度構建和分析移動系統的算法。
作者簡介
Yoshiumi Kawamura received Ph.D. in Theoretical Chemistry at Waseda University in 2005. He joined Toyota Motor Corporation in 2005. He has been involved in research on simulation and informatics for the development of materials for automotive applications. His current position is a manager of the advanced research in Mathematical Sciences and Data Science, etc.
Kazuhisa Makino received the Ph.D. in Applied Mathematics and Physics from Kyoto University. He is currently a professor of the Research Institute for Mathematical Sciences, Kyoto University. He has authored or coauthored morethan 200 peer-reviewed journal and conference papers. His research interests include discrete mathematics, optimization, and algorithm theory. He has received many scientific awards and honors, such as AAAI Outstanding Paper Award 2002, ISAAC Best Paper Award 2016, and Editors' Choice of Discrete Applied Mathematics 1999 and 2003.
Satoshi Tsujimoto is a professor in Graduate School of Informatics at Kyoto University. He received his Ph.D. degree in engineering from Waseda University in 1997. He joined the faculty at Waseda University and moved to Osaka University and Kyoto University. His research interests are in applied mathematics, particularly with the theory of applications of discrete integrable systems, special functions, and orthogonal polynomials.
Nobuo Yamashita received Ph.D. in Engineering at Nara Institute of Science and Technology in March 1996. After he was a research fellow at Japan Society for the Promotion of Science in 1996, he was appointed an assistant professor at the Section of Applied Mathematics and Physics, Graduate School of Engineering, Kyoto University in August 1997. In April 2005 he became an associate professor at the department of Applied Mathematics and Physics, Graduate School of Informatics, and In July 2014 he was promoted to professor. He is also the research director of the joint research project, "Advanced Mathematical Science for Mobility Society" between Kyoto University and Toyota Motor Corporation. His research interests include continuous optimization, equilibrium problems, and nonlinear equations.
Shintaro Yoshizawa received a Ph.D. in Statistical Mathematics from the Graduate University for Advanced Studies in 1999. After being a visiting researcher at the Isaac Newton Institute for Mathematical Science in 2000, a postdoctoral researcher at the University of Würzburg from 2001 to 2002, and a visiting fellow at the Australian National University Institute of Advanced Studies in 2002, he joined Toyota Motor Corporation in 2003. He has been involved in R&D related to robotics intelligence, human characteristics, and mathematical science for the Mobility Society. His current position is as a project manager for advanced research in Robotics.mathematical science for Mobility Society. His current position is a project manager of the advanced research in Robotics.
Hanna Sumita is an associate professor at the School of Computing, Tokyo Institute of Technology. She received Ph.D. in the field of Information Science and Technology from the University of Tokyo in 2015. Her research includes combinatorial optimization and algorithmic game theory.
作者簡介(中文翻譯)
井田和志（Kazushi Ikeda）於東京大學獲得工程學博士學位，目前是奈良先端科學技術大學院大學科學與技術研究所的教授。他專注於數學資訊學的研究，包括機器學習理論與應用、數學生物學及計算神經科學。
川村佳海（Yoshiumi Kawamura）於2005年在早稻田大學獲得理論化學博士學位。2005年加入豐田汽車公司，參與汽車應用材料開發的模擬與資訊學研究。目前擔任數學科學與數據科學等領域的高級研究經理。
牧野和久（Kazuhisa Makino）於京都大學獲得應用數學與物理學博士學位，目前是京都大學數學科學研究所的教授。他已發表或共同發表超過200篇經過同行評審的期刊和會議論文。其研究興趣包括離散數學、優化及演算法理論。他獲得了許多科學獎項和榮譽，如2002年AAAI傑出論文獎、2016年ISAAC最佳論文獎，以及1999年和2003年《離散應用數學》編輯選擇獎。
辻本聰（Satoshi Tsujimoto）是京都大學資訊學研究所的教授。他於1997年在早稻田大學獲得工程學博士學位。曾在早稻田大學任教，後轉至大阪大學和京都大學。其研究興趣在於應用數學，特別是離散可積系統的應用理論、特殊函數及正交多項式。
山下信夫（Nobuo Yamashita）於1996年3月在奈良先端科學技術大學院獲得工程學博士學位。1996年成為日本學術振興會的研究員，1997年8月被任命為京都大學工學院應用數學與物理學系的助理教授。2005年4月晉升為資訊學研究所應用數學與物理學系的副教授，並於2014年7月晉升為教授。他也是京都大學與豐田汽車公司之間的聯合研究計畫「移動社會的先進數學科學」的研究主任。其研究興趣包括連續優化、平衡問題及非線性方程。
吉澤新太郎（Shintaro Yoshizawa）於1999年在高等研究院獲得統計數學博士學位。2000年擔任劍橋牛頓數學科學研究所的訪問研究員，2001年至2002年在維爾茨堡大學擔任博士後研究員，2002年在澳洲國立大學高等研究所擔任訪問研究員，2003年加入豐田汽車公司。他參與與機器人智能、人類特徵及移動社會的數學科學相關的研發工作。目前擔任機器人領域的高級研究專案經理。
澤見華奈（Hanna Sumita）是東京科技大學計算機學院的副教授。她於2015年在東京大學獲得資訊科學與技術領域的博士學位。她的研究包括組合優化和演算法博弈論。
