GNSS for Rail Transportation - Challenges and Opportunities (Hardcover, 1st ed. 2018)

This book proposes a general methodology to introduce Global Navigation Satellite System (GNSS) integrity, starting from a rigorous mathematical description of the problem. It highlights the major issues that designers need to resolve during the development of GNSS-based systems requiring a certain level of confidence on the position estimates. Although it follows a general approach, the final chapters focus on the application of GNSS integrity to rail transportation, as an example. By describing the main requirements in the context of train position function, one of which is the safe function of any train control system, it shows the critical issues associated with the concept of safe position integrity. In particular, one case study clarifies the key differences between the avionic domain and the railway domain related to the application of GNSS technologies, and identifies a number of railway-signaling hazards linked with the use of such technology. Furthermore, it describes various railway-signaling techniques to mitigate such hazards to prepare readers for the future evolution of train control systems, also based on the GNSS technology. This unique book offers a valuable reference guide for engineers and researchers in the fields of satellite navigation and rail transportation.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	PoliTO Springer Series
Release date:	April 2018
First published:	2018
Editors:	Letizia Lo Presti • Salvatore Sabina
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	244
Edition:	1st ed. 2018
ISBN-13:	978-3-319-79083-1
Categories:	Books > Professional & Technical > Transport technology > Railway technology & engineering Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS) Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	3-319-79083-8
Barcode:	9783319790831

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