Theory And Technology For Improving High Speed Railway Transportation Capacity
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Theory and Technology for Improving High-Speed Railway Transportation Capacity
Theory and Technology for Improving High-Speed Railway Transportation Capacity present solutions to problems in utilizing new technologies for signaling in high-speed rail towards increasing capacity. The book examines capacity in terms of signaling control and for a railway transport organization. Key problems covered include station intervals and resource occupation. This book provides a handbook for developing capacity through new technology and methods in signaling. Sections focus on improving high-speed railway transportation capacity using frontier railway technologies and include the experience of the authors on high-speed railways in China to present best practices and novel solutions to railway signaling control and transportation organization. This title includes insights gained from years of work at the State Key Laboratory of Rail Traffic Control and Safety, offering readers a theoretical and systematic summary of the technology that can improve high-speed railway capacity. - Focuses on improving high-speed railway transportation capacity at the frontier of railway technologies - Examines capacity in terms of signaling control and railway transport organization - Gives detailed descriptions of the state-of the-art in high-speed railway signaling, safety and traffic control systems - Leverages research and expertise in high-speed railways from their rapid development and rollout across China - Provides solutions to using new technologies in order to move beyond traditional approaches to railway signaling
Safety Theory and Control Technology of High-Speed Train Operation
Safety Theory and Technology of High-Speed Train Operation puts forward solutions for train dispatching and signal control. Frequent railway incidents have threatened the safety of rail transport. In 2013, more than 12 trains collided. In the same year, a Spanish train derailed due to speed, and two of China's high-speed trains collided. In 2016, Germany and Italy both experienced serious train collisions. Global railway security is essential. Many accidents are caused by train dispatching errors and signal system failure. Chinese high-speed railway has developed very quickly and at a very large scale. However, many issues reagrding safety has not been addressed. This book considers the issue from the perspective of a system. A train operation control system structure is put forward in order to ensure safety. Five key technologies (namely system-level fail-safe, parallel monitoring, completeness of train control data, data sharing and fusion and prevention of common errors in monitoring), are proposed. In order to prevent collision, over-speed, derailment, and rear-end collision accidents, the concept and corresponding parallel monitoring technology of five core control items (train route, speed, tracking interval, temporary speed limit, train running state) is proposed. - Puts forward solutions for train dispatching and signal control - Views high-speed train safety and technology from a systems-theory perspective - Describes five key technologies to ensure safety - Proposes five parallel monitoring technologies to prevent collision, over-speed, derailment and rear-end collision incidents - Considers the very quick and large-scale development of Chinese high-speed rail
Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems
Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems: Fundamentals, Technologies, and Solutions is an essential reference for energy researchers, graduate students and engineers who aim to understand the opportunities offered by artificial intelligence for the integration of electric vehicles into smart grids. This book begins by building foundational knowledge for the reader, covering the essentials of artificial intelligence and its applications for electric vehicles in a clear and holistic manner. Next, it breaks down two essential areas of application in more detail: energy management (from to energy harvesting to demand response and complex forecasting), and market strategies (including peer-to-peer, vehicle-to-vehicle, and vehicle-to-everything trading, plus the cyber-security implications). A final part provides detailed case studies and close consideration of challenges, including code and data sets for replication of techniques. Providing a clear pathway from fundamentals to practical implementation, Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems will provide multidisciplinary guidance for implementing this cutting-edge technology in the energy systems of the future. - Supports fundamental understanding of artificial intelligence and its opportunities for energy system specialists - Collects the real-world experiences of global experts - Enables practical implementation of artificial intelligence strategies that support renewable energy integration across energy systems, markets, and grids