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Intelligent Road Transport Systems

An Introduction to Key Technologies

Medium: Buch
ISBN: 978-981-16-5775-7
Verlag: Springer Nature Singapore
Erscheinungstermin: 18.05.2022
Lieferfrist: bis zu 10 Tage
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.

Produkteigenschaften


  • Artikelnummer: 9789811657757
  • Medium: Buch
  • ISBN: 978-981-16-5775-7
  • Verlag: Springer Nature Singapore
  • Erscheinungstermin: 18.05.2022
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2022
  • Produktform: Gebunden, HC runder Rücken kaschiert
  • Gewicht: 1080 g
  • Seiten: 608
  • Format (B x H x T): 160 x 241 x 39 mm
  • Ausgabetyp: Kein, Unbekannt

Autoren/Hrsg.

Herausgeber

Wang, Yunpeng

Wu, Chaozhong

YAN, Xinping

Lu, Guangquan

Chapter 1 Introduction 11.1 Overview of Intelligent Transportation System 11.1.1 Basic concept of ITS 11.1.2 Historical evolution of ITS 21.2 Development of Intelligent Transportation System 41.2.1 The evolution of ITS in US 41.2.2 The evolution of ITS in Japan 111.2.3 The evolution of ITS in Europe 161.2.4 The evolution of ITS in China 201.3 Trend of ITS 261.4 Structure of this book Reference Chapter 2 Information Collection Technology in ITS 272.1 Characteristics and classification of Intelligent Transportation Information Technology 272.1.1 Characteristics of Intelligent Transportation Information 272.1.2 Classification of Intelligent Transportation Information Technology 282.2 Fixed traffic information collection technology 322.2.1 Information collection using loop detector 322.2.2 Information collection using ultrasonic 372.2.3 Information collection using video 422.2.4 Information collection using mircrowave radar 482.2.5 Comparison 532.3 Mobile traffic information collection technology 552.3.1 Information collection using floating car 552.3.2 Information collection using UAV 602.3.3 Crowdsourcing information collection technology 672.3.4 Comparison 75References Chapter 3 Traffic Data Management Technology in ITS 773.1 Data cleaning technology 773.1.1 Importance of data cleaning 773.1.2 The main content of data cleaning 783.1.3 The main method of data cleaning 823.2 Data storage technology 873.2.1 Data format 873.2.2 Data storage method 943.2.3 Distributed storage 963.3 Data mining and visualization 993.3.1 Data query 993.3.2 Data classification 1033.3.3 Data clustering 1053.3.4 Data association 1103.3.5 Spatio-temporal data analysis 1133.3.6 Geocoding 1163.3.7 Location matching 120References Chapter 4 Information Interaction Technology in ITS 1244.1 Overview of Vehicle Self-organizing Network 1244.1.1 Wireless network and mobile network 1244.1.2 DSRC, LTE-V and 5G communication 1254.2 Networking and heterogeneous network selection 1274.2.1 Basic knowledge of networking 1274.2.2 Standardization and hierarchical model of computer network 1294.2.3 Network switching method 1314.3 Efficient transmission and adaptive routing method 1384.3.1 Research of Mobile Ad-hoc Network Routing 1384.3.2 Classical routing algorithms 1414.3.3 Bionic Ad-hoc network unicast/broadcast routing algorithm 1464.4 Basic application and standard specification of traffic information interaction 1624.4.1 Basic application of vehicle communication system 1624.4.2 Interactive data sets, standards and interface specifications in application layer 169References Chapter 5 Traffic state analysis and prediction technology 1745.1 Concept and connotation of traffic state 1745.1.1 Concept of traffic status 1745.1.2 Index system of traffic state 1785.2 Discrimination and analysis of traffic states 1825.2.1 Road traffic states discrimination 1825.2.2 Traffic states analysis method 1885.3 Basic theory and method of prediction 1935.3.1 Overview of traffic state prediction 1935.3.2 Analysis of traffic state prediction methods 1985.4 Congestion prediction method and application 2135.4.1 Congesion discrimination 2135.4.2 Basic framework of Congestion state prediction method and application 216References Chapter 6 Information Service Technology in ITS 2256.1 Connotation of ITISS 2256.1.1 Concept of ITISS 2256.1.2 Role of ITISS 2286.1.3 Classification of ITISS 2306.2 Key Technologies ITISS 2336.2.1 The composition and working principle of ITISS 2336.2.2 Theoretical Foundation of ITISS 2366.2.3 Technical Foundation of ITISS 2396.3 Advanced traffic information service system 2506.3.1 Typical TISS and its key technologies 2516.3.2 TISS in China 251Reference Chapter 7 Intelligent traffic management and control technology 2837.1 Overview of ITMS 2837.1.1 Concept and development status of ITMS 2837.1.2 Framework and functions of ITMS 2847.2 Typical ITMS and Application 2877.2.1 Intelligent traffic monitoring system 2877.2.2 Electronic police system 2897.2.3 Intelligent Public Transport Management System 2957.2.4 Parking guidance system 3027.2.5 Emergency Management System 3067.2.6 Typical urban ITMS and its application 3107.3 Overview of Intelligent Traffic Signal Control System 3187.3.1 Introduction to Traffic Signal Control System 3187.3.2 Typical Intelligent Traffic Control System 3237.3.3 Application of Intelligent Traffic Signal Control System in China 343References Chapter 8 Vehicle intelligent driving technology 3608.1 Intelligent Vehicles 3608.1.1 Introduction to Intelligent Vehicles 3608.1.2 Classification of Intelligent Vehicles 3618.1.3 Component of Intelligent Vehicles 3638.1.4 Development of Intelligent Vehicles 3688.2 Perception 3728.2.1 Environmental perception 3728.2.2 Component of environmental perception system 3738.2.3 Overall function of environmental awareness 3748.2.4 Lidar 3758.2.5 Millimeter wave radar 3818.2.6 Visual perception system 3898.3 Decision Planning Control 389 8.3.1 Decision Planning Control System 390 8.3.2 Decision 392 8.3.3 Motion planning 393 8.3.4 Vehicle control 3968.4 Application of Emerging Technologies in Smart Cars 396 8.4.1Deep learning 397 8.4.2 Reinforcement learning 400 8.4.3 SLAM 404References Chapter 9 Intelligent vehicle networking and cooperative vehicle-infrastructure technology 4199.1 Introduction 4199.1.1 From assisted driving to IoV 4199.1.2 From IoV to Vehicle-Road Collaborative Technology 4219.2 Intersection Signal Control Technology Based on IoV 4229.2.1 Traffic flow prediction based on IoV data 4229.2.2 Signal timing identification based on IoV data 4269.2.3 Signal timing optimization based on IoV data 4369.3 Route planning technology in the environment of IoV 4469.3.1 Short-term prediction of road network conditions based on Iov data 4469.3.2 Route optimization in IoV environment 4479.3.3 Vehicle service route optimization in IoV environment 4539.4 Intelligent control technology in vehicle-road collaborative environment 4609.4.1 Car-following queue cooperative control based on vehicle-to-vehicle communication 4619.4.2 Lane-changing control under vehicle-road coordination environment 4679.4.3 Traffic Control of Intersections in Vehicle-Road Cooperative Environment 474References Chapter 10 Typical Intelligent Transportation Application System 49210.1 Urban traffic state monitoring and index evaluation system 49210.1.1 Introduction 49210.1.2 System composition 49510.1.3 Case study: Road Traffic State Index in Shanghai 50210.2 Key commercial vehicle networked and jointed control system 50410.2.1 Introduction 50410.2.2 System composition & services 50810.2.3 Case study:Driving behavior monitoring and early warning system 51310.3 Intelligent Connected Vehicle Test and Evaluation System 51710.3.1 Background and development 51710.3.2 verification technology and test method 52110.3.3 Case study:Shanghai International Automobile City closed test area (F-Zone) 52610.4 Mega-event traffic organization and management system 53210.4.1 Introduction 53210.4.2 System composition 53410.4.3 Case study:Transportation Organization and Management of Shenzhen Universiade 540References