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Intelligent Road Transport Systems : An Introduction to Key Technologies / edited by Yunpeng WANG, Xinping YAN, Guangquan LU, Chaozhong WU

データ種別	電子ブック
版	1st ed. 2022.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2022
大きさ	VIII, 608 p. 1 illus : online resource
著者標目	WANG, Yunpeng editor YAN, Xinping editor LU, Guangquan editor WU, Chaozhong editor SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0002456	Computer Scinece R0 2005-6,2022-3				9789811657764

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一般注記	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 HTTP:URL=https://doi.org/10.1007/978-981-16-5776-4
件　名	LCSH:Artificial intelligence LCSH:Transportation engineering LCSH:Traffic engineering LCSH:Technical education FREE:Intelligence Infrastructure FREE:Transportation Technology and Traffic Engineering FREE:Engineering and Technology Education
分　類	LCC:Q334-342 LCC:TA347.A78 DC23:006.3
書誌ID	EB00001844
ISBN	9789811657764