Data Analytics for Intelligent Transportation Systems (2017, E-book) by download FB2, EPUB
9780128098516 English 0128098511 Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Includes case studies in each chapter that illustrate the application of concepts covered Presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies Contains contributors from both leading academic and commercial researchers, Hundreds of interconnected electric devices and sensors are embedded in modern vehicles and the transportation infrastructure. They produce massive amounts of data, however a key challenge is how to use this data in real time. Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems, along with detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. Data Analytics for Intelligent Transportation Systems examines the major characteristics of connected transportation systems along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing and distributing the data, designing data infrastructures, data management and data delivery systems, and the required hardware and software technologies. The book shows how to design effective data visualizations, as well as planning, designing, and evaluating alternative data analytics for different connected transportation applications. The book discusses the key safety and environmental applications for both commercial and passenger vehicles, the data privacy and security issues, and concludes with the role of social media data in traffic planning. Case studies in each chapter illustrate application of concepts covered Extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies Contributors from both leading academic and commercial researchers
9780128098516 English 0128098511 Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Includes case studies in each chapter that illustrate the application of concepts covered Presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies Contains contributors from both leading academic and commercial researchers, Hundreds of interconnected electric devices and sensors are embedded in modern vehicles and the transportation infrastructure. They produce massive amounts of data, however a key challenge is how to use this data in real time. Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems, along with detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. Data Analytics for Intelligent Transportation Systems examines the major characteristics of connected transportation systems along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing and distributing the data, designing data infrastructures, data management and data delivery systems, and the required hardware and software technologies. The book shows how to design effective data visualizations, as well as planning, designing, and evaluating alternative data analytics for different connected transportation applications. The book discusses the key safety and environmental applications for both commercial and passenger vehicles, the data privacy and security issues, and concludes with the role of social media data in traffic planning. Case studies in each chapter illustrate application of concepts covered Extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies Contributors from both leading academic and commercial researchers