Intelligent Transport Systems for Everyone’s Mobility - Tapa blanda

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Tsunenori Mine received his B.E. degree in Computer Science and Computer Engineering in 1987 and M.E. and D.E. degrees in Information Systems in 1989 and 1993, respectively, all from Kyushu University. He is an Associate Professor at the Department of Advanced Information Technology, Faculty of Information Science and Electrical Engineering, Kyushu University.  He received a best paper award for his study on a parallel parsing algorithm from Journal of IPSJ in 1993, and an award for his contribution to IPSJ in 2015. He is interested in developing real-world services using artificial intelligence techniques, in particular, natural language processing, text mining, data mining, recommendation, and multi-agent systems. His research projects include “Data (text) mining for driving Government 2.0”, “Ito-Campus-Life: Local-Area-Guide for sharing and recommending information to satisfy basic daily needs”, “Real SNS for reusing social connectionrecords”, “Comment Mining for improving student learning performance”, and “Intelligent transport guide systems for helping passengers on public transportation systems”. Akira Fukuda received his BEng, MEng, and PhD degrees in Computer Science and Communication Engineering from Kyushu University, Japan, in 1977, 1979, and 1985, respectively. From 1977 to 1981, he worked for the Nippon Telegraph and Telephone Corporation, where he pursued research on computer-system performance evaluation and the queueing theory.
From 1981 to 1991 and from 1991 to 1993, he worked for the Department of Information Systems and the Department of Computer Science and Communication Engineering, Kyushu University, Japan, respectively. In 1994, he joined Nara Institute of Science and Technology, Japan, as a Professor.  Since 2001, 2008, and 2016, he has been a Professor at the Graduate School of Information Science and Electrical Engineering, andDirector of the System LSI Research Center, and director of R&D Center for Smart Mobility, Kyushu Univ., Japan, respectively.  Since 2015, he has been a Distinguished Professor of Kyushu Univ. His research interests include embedded systems, ubiquitous computing, system software (operating systems, compiler, and run-time systems), parallel and distributed systems, and performance evaluation. He is an IPSJ fellow and a member of the ACM, the IEEE Computer Society, the IEICE, the IPSJ, and the Operations Research Society of Japan. Shigemi Ishida is an Assistant Professor at the Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan. He received his B.E. degree in Electrical Engineering from Shibaura Institute of Technology, Tokyo, Japan, in 2006, and M.S. and Ph.D. degrees in Electrical Engineering and Information Systems from University of Tokyo, Japan, in 2008 and 2012, respectively. He was a visiting scholar at the Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, in 2013. His research interests include wireless sensor networks, low-power wireless communications, localization systems, cross-technology communications, and intelligent transportation systems.
He is currently focusing on localization systems and sensing technologies for a better understanding of the world around us.

De la contraportada

This book presents the latest, most interesting research efforts regarding Intelligent Transport System (ITS) technologies, from theory to practice. The book’s main theme is “Mobility for everyone by ITS”; accordingly, it gathers a range of contributions on human-centered factors in the use or development of ITS technologies, infrastructures, and applications. Each of these contributions proposes a novel method for ITS and discusses the method on the basis of case studies conducted in the Asia-Pacific region.

The book are roughly divided into four general categories: 1) Safe and Secure Society, 2) ITS-Based Smart Mobility, 3) Next-Generation Mobility, and 4) Infrastructure Technologies for Practical ITS. In these categories, several key topics are touched on with each other such as driver assistance and behavior analysis, traffic accident and congestion management, vehicle flow management at large events, automated or self-driving vehicles, V2X technologies, next-generation public transportation systems, and intelligent transportation systems made possible by big data analysis. In addition, important current and future ITS-related problems are discussed, taking into account many case studies that have been conducted in this regard.