Springer Intelligent Transport Systems for Everyone’s Mobility

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. From the Back Cover 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. About the Author 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 connection records”, “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 pursue