Intelligent Road Transport Systems An Introduction to Key Technologies /
Intelligent Road Transport Systems An Introduction to Key Technologies / [electronic resource] :
edited by Yunpeng WANG, Xinping YAN, Guangquan LU, Chaozhong WU.
- 1st ed. 2022.
- VIII, 608 p. 1 illus. online resource.
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.
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 (IoT), 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.
9789811657764
10.1007/978-981-16-5776-4 doi
Artificial intelligence.
Transportation engineering.
Traffic engineering.
Technical education.
Intelligence Infrastructure.
Transportation Technology and Traffic Engineering.
Engineering and Technology Education.
Q334-342 TA347.A78
006.3
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.
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 (IoT), 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.
9789811657764
10.1007/978-981-16-5776-4 doi
Artificial intelligence.
Transportation engineering.
Traffic engineering.
Technical education.
Intelligence Infrastructure.
Transportation Technology and Traffic Engineering.
Engineering and Technology Education.
Q334-342 TA347.A78
006.3