In recent years, the application of intelligent transportation systems (ITS) has steadily expanded, and has become a hot spot of common interest to universities, scientific research institutes, enterprises and institutions in the transportation field. ITS is the product of the deep integration of modern high-tech in the transportation industry, and its development has accompanied that of modern high-tech. ITS is now also becoming part of the Internet of Things (Io T), and is expected to contribute significantly to making our cities smarter and connecting with other infrastructure. Although there are many monographs and textbooks on intelligent transportation, with the advancement of technology and changes in demand, the key technologies of ITS are also rapidly changing.
This book chiefly focuses on the main technologies of ITS, examining them from four perspectives: “sense” (perception and management of traffic information, chapters 2 & 3), “transmission” (interaction of traffic information, chapter 4), “prediction” (prediction of traffic states, chapter 6) and “application” (intelligent transportation applications, chapters 6 through 10). Given its scope, the book can be used as a textbook for undergraduates or graduates, as well as a reference book for research institutes and enterprises.
This book emphasizes the use of basis traffic engineering principles and state-of-art methodologies to develop functional designs. It largely reflects the authors’ own experience in adapting these methodologies to ITS design. For example, the book addresses various forms of data collection, models used to predict and evaluate traffic states, comprehensive description in connected vehicles, applications for users and traffic managers, etc. The knowledge gained here will allow designers to estimate the performance differences among alternatives and gauge their potential benefits for functional design purposes. To gain the most from the book, readers should be somewhat familiar with the field of traffic engineering and interested in ITS.
Jadual kandungan
Chapter 1 Introduction.- Chapter 2 Information Collection Technology in ITS.- Chapter 3 Traffic Data Management Technology in ITS.- Chapter 4 Information Interaction Technology in ITS.- Chapter 5 Traffic state analysis and prediction technology.- Chapter 6 Information Service Technology in ITS.- Chapter 7 Intelligent traffic management and control technology.- Chapter 8 Vehicle intelligent driving technology.- Chapter 9 Intelligent vehicle networking and cooperative vehicle-infrastructure technology.- Chapter 10 Typical Intelligent Transportation Application System.
Mengenai Pengarang
WANG Yunpeng is a Professor and Vice President of Beihang University, Executive Deputy Director of the National Engineering Laboratory of Comprehensive Transportation Big Data Application Technology, and Director of the Beijing Key Laboratory of Vehicle-Road Collaboration and Safety Control, where he is in charge of the “Intelligent Transportation Technology Innovation Team, ” the key innovation team for the Ministry of Science and Technology, dedicated to exploring basic theories and key technologies in the field of connected vehicles and vehicle-road collaboration. He has edited one “Beijing fine textbook” and published six monographs; he has won two second prizes at the National Science and Technology Progress Awards and four first prizes at the Provincial and Ministerial Science and Technology Progress Awards.
YAN Xinping is an Academician of the Chinese Academy of Engineering, a Professor at Wuhan University of Technology, and Director of the National Engineering Research Center for Water Transport Safety. He is engaged in teaching and scientific research in the field of waterway traffic engineering, and has obtained pioneering engineering application results in the fields of marine power equipment wear diagnosis, navigation risk control, intelligent navigation, etc. He has won second prize at the National Technology Invention Awards and the Science and Technology Progress Awards, together with five provincial and ministerial first prizes. He has published six monographs, and the team he leads was selected as an “Excellent Technological Innovation Team in the Transportation Industry.”
LU Guangquan is a Professor of Beihang University, and associate dean of School of Transportation Science and Engineering. His research fields include Driver behavior, Traffic Safety, Intelligent Transportation Systems, Intelligent Vehicle Infrastructure Cooperative Systems. He has taken charge of projects supported by the National High Technology Research and Development Program, the National Natural Science Foundation, and the National Key Projects in the Science & Technology of China, published more than 50 academic papers.
WU Chaozhong is a professor and vice president of Wuhan University of Technology. His research fields include Traffic Safety, Intelligent Transportation Systems, Intelligent Vehicle Infrastructure Cooperative Systems and so on. He has in changed of over more than 10 projects such as the National High Technology Research and Development Program, the National Natural Science Foundation, and the National Key Projects in the Science & Technology of China; published more than 50 academic papers, obtained more than 20 authorized patents, more than 10 software copyrights, and 5 scientific research awards. He is also the director of the Youth Transportation Committee of the China Communications and Transportation Association, the member of the China Intelligent Transportation Association, the member of the National Intelligent Transportation System Standardization Committee, the editor in chief of the Journal of Traffic Information and Security.
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