On-Board Design Models and Algorithm for Communication Based Train Control and Tracking System
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- Hardcover
- Taschenbuch ausgewählt
- eBook
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Sprache:Englisch
Fr. 39.90
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
09.10.2024
Abbildungen
44 SW-Abb., 14 SW-Fotos, 30 SW-Zeichn., 6 Tabellen
Verlag
Taylor & FrancisSeitenzahl
146
Maße (L/B/H)
21.6/14/0.8 cm
Gewicht
194 g
Sprache
Englisch
ISBN
978-1-03-227774-5
Railway systems have a long history of train protection and control, as to reduce the risk of train accidents. Many train control systems include automated communication between train and trackside equipment. But several different national systems are still facing cross-border rail traffic. Today, trains for cross-border traffic need to be equipped with train control systems that are installed on the tracks.
This book covers the latest advances in Communication Based Train Control (CBTC) research in on-board components locomotive messaging systems, GPS sensors, communications wayside and switching networks. It also focuses on architecture and methodology using data fusion techniques. New wireless sensor integrated modeling techniques for tracking trains in satellite visible and low satellite visible environments are discussed. With a Tunnel Surveillance Integration model, the use of optimal control is necessary to improve train control performance, considering both train-ground communication and train control.
The book begins with the background and evolution of train signaling and train control systems. It introduces the main features and architecture of CBTC systems and describes current challenging methods and successful implementations.
This introductory book is very useful for Signal & Telecommunication engineers to get them acquainted with the technology used in CBTC, and help them in implementing the system suitable for Indian Railways. As this is a new technology, the information provided in this book is generic and will be subsequently revised after gaining further experience.
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