The Resource GNSS for rail transportation : challenges and opportunities, Letizia Lo Presti, Salvatore Sabina, editors, (electronic book)
GNSS for rail transportation : challenges and opportunities, Letizia Lo Presti, Salvatore Sabina, editors, (electronic book)
Resource Information
The item GNSS for rail transportation : challenges and opportunities, Letizia Lo Presti, Salvatore Sabina, editors, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item GNSS for rail transportation : challenges and opportunities, Letizia Lo Presti, Salvatore Sabina, editors, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.
This item is available to borrow from 1 library branch.
- Summary
- 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
- Language
- eng
- Extent
- 1 online resource.
- Contents
-
- Intro; Preface; Contents; Acronyms; 1 Introduction and Book Objectives; 1.1 GNSS for Safety of Life Applications; 1.2 The Concept of Integrity in Satellite Navigation; 1.3 From Aviation to the Railway Transportation Domain; 1.4 Objectives; References; Part I GNSS Integrity; 2 Review of Common Navigation Algorithms and Measurements Errors; 2.1 Methods for Position Velocity and Time (PVT) Computation; 2.1.1 Least Square Solution; 2.1.2 Geometric Interpretation of Least Square Solution Using Orthogonal Subspaces; 2.1.3 Weighted Least Square Solution and Subspace Projection
- 2.1.4 Covariance Matrix2.1.5 Errors Due to the Receiving Hardware and Local Environment; References; 3 Fundamentals of Integrity Monitoring; 3.1 Evaluation of the Confidence Interval in an AWGN Model; 3.1.1 PL of a Single Coordinate, in Case of Zero-Mean Gaussian Position Error; 3.1.2 Verification of the AWGN Model; 3.1.3 Introduction to RAIM; 3.2 Fault Detection in the Range Domain; 3.2.1 Range Residual Method; 3.2.2 Parity Method; 3.2.3 Computation of the Decision Threshold for the AWGN Model; 3.3 Fault Detection and Exclusion in the Position Domain
- 3.3.1 Solution Separation with a Single Fault3.3.2 Bias Estimator; 3.3.3 Solution Separation Test with a Generic Number of Faults; 3.4 Comparison Between Methods in the Range and in the Position Domains; 3.5 Residual and Solution Separation Tests: Geometric Interpretation and Efficient Implementation; 3.5.1 Efficient Implementation in Single Fault Case; 3.5.2 Efficient Implementation in Double Fault Case; 3.6 Conclusions; References; 4 Evaluation of the Confidence Intervals; 4.1 Confidence Interval in the Case of a Single Fault; 4.1.1 Alert Limit, Integrity Risk, and Protection Level
- 4.1.2 The Effect of Bias in a Single Satellite4.1.3 Confidence Interval Computation in a Slope-Based RAIM; 4.1.4 Fault Detection Algorithms in a Slope-Based RAIM; 4.2 Method to Evaluate an Upper Bound for PL; 4.2.1 Nominal and Faulty Conditions: Binary Hypothesis Case; 4.2.2 Hypothesis mathscrHa: Error Model Based on Non Zero Mean Gaussian PDF; 4.2.3 Confidence Interval in the Case of Multiple Faults; 4.2.4 Estimation of the Mean of the Gaussian Error Model; 4.2.5 Modelling of the Variance of the Gaussian Error Model; 4.2.6 Fault Tree; 4.3 Stanford Plot; 4.4 Final Remarks on RAIM Algorithms
- Isbn
- 9783319790848
- Label
- GNSS for rail transportation : challenges and opportunities
- Title
- GNSS for rail transportation
- Title remainder
- challenges and opportunities
- Statement of responsibility
- Letizia Lo Presti, Salvatore Sabina, editors
- Title variation
- Global Navigation Satellite System for rail transportation
- Language
- eng
- Summary
- 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
- Cataloging source
- N$T
- Dewey number
- 385
- Index
- no index present
- LC call number
- TF153
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
-
- Lo Presti, Letizia
- Sabina, Salvatore
- Series statement
- PoliTO Springer series
- http://library.link/vocab/subjectName
-
- Railroads
- Global Positioning System
- Engineering
- Signal, Image and Speech Processing
- Transportation Technology and Traffic Engineering
- Geographical Information Systems/Cartography
- Special Purpose and Application-Based Systems
- Label
- GNSS for rail transportation : challenges and opportunities, Letizia Lo Presti, Salvatore Sabina, editors, (electronic book)
- Bibliography note
- Includes bibliographical references
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Intro; Preface; Contents; Acronyms; 1 Introduction and Book Objectives; 1.1 GNSS for Safety of Life Applications; 1.2 The Concept of Integrity in Satellite Navigation; 1.3 From Aviation to the Railway Transportation Domain; 1.4 Objectives; References; Part I GNSS Integrity; 2 Review of Common Navigation Algorithms and Measurements Errors; 2.1 Methods for Position Velocity and Time (PVT) Computation; 2.1.1 Least Square Solution; 2.1.2 Geometric Interpretation of Least Square Solution Using Orthogonal Subspaces; 2.1.3 Weighted Least Square Solution and Subspace Projection
- 2.1.4 Covariance Matrix2.1.5 Errors Due to the Receiving Hardware and Local Environment; References; 3 Fundamentals of Integrity Monitoring; 3.1 Evaluation of the Confidence Interval in an AWGN Model; 3.1.1 PL of a Single Coordinate, in Case of Zero-Mean Gaussian Position Error; 3.1.2 Verification of the AWGN Model; 3.1.3 Introduction to RAIM; 3.2 Fault Detection in the Range Domain; 3.2.1 Range Residual Method; 3.2.2 Parity Method; 3.2.3 Computation of the Decision Threshold for the AWGN Model; 3.3 Fault Detection and Exclusion in the Position Domain
- 3.3.1 Solution Separation with a Single Fault3.3.2 Bias Estimator; 3.3.3 Solution Separation Test with a Generic Number of Faults; 3.4 Comparison Between Methods in the Range and in the Position Domains; 3.5 Residual and Solution Separation Tests: Geometric Interpretation and Efficient Implementation; 3.5.1 Efficient Implementation in Single Fault Case; 3.5.2 Efficient Implementation in Double Fault Case; 3.6 Conclusions; References; 4 Evaluation of the Confidence Intervals; 4.1 Confidence Interval in the Case of a Single Fault; 4.1.1 Alert Limit, Integrity Risk, and Protection Level
- 4.1.2 The Effect of Bias in a Single Satellite4.1.3 Confidence Interval Computation in a Slope-Based RAIM; 4.1.4 Fault Detection Algorithms in a Slope-Based RAIM; 4.2 Method to Evaluate an Upper Bound for PL; 4.2.1 Nominal and Faulty Conditions: Binary Hypothesis Case; 4.2.2 Hypothesis mathscrHa: Error Model Based on Non Zero Mean Gaussian PDF; 4.2.3 Confidence Interval in the Case of Multiple Faults; 4.2.4 Estimation of the Mean of the Gaussian Error Model; 4.2.5 Modelling of the Variance of the Gaussian Error Model; 4.2.6 Fault Tree; 4.3 Stanford Plot; 4.4 Final Remarks on RAIM Algorithms
- Extent
- 1 online resource.
- Form of item
- online
- Isbn
- 9783319790848
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-3-319-79084-8
- System control number
-
- on1032070728
- (OCoLC)1032070728
- Label
- GNSS for rail transportation : challenges and opportunities, Letizia Lo Presti, Salvatore Sabina, editors, (electronic book)
- Bibliography note
- Includes bibliographical references
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Intro; Preface; Contents; Acronyms; 1 Introduction and Book Objectives; 1.1 GNSS for Safety of Life Applications; 1.2 The Concept of Integrity in Satellite Navigation; 1.3 From Aviation to the Railway Transportation Domain; 1.4 Objectives; References; Part I GNSS Integrity; 2 Review of Common Navigation Algorithms and Measurements Errors; 2.1 Methods for Position Velocity and Time (PVT) Computation; 2.1.1 Least Square Solution; 2.1.2 Geometric Interpretation of Least Square Solution Using Orthogonal Subspaces; 2.1.3 Weighted Least Square Solution and Subspace Projection
- 2.1.4 Covariance Matrix2.1.5 Errors Due to the Receiving Hardware and Local Environment; References; 3 Fundamentals of Integrity Monitoring; 3.1 Evaluation of the Confidence Interval in an AWGN Model; 3.1.1 PL of a Single Coordinate, in Case of Zero-Mean Gaussian Position Error; 3.1.2 Verification of the AWGN Model; 3.1.3 Introduction to RAIM; 3.2 Fault Detection in the Range Domain; 3.2.1 Range Residual Method; 3.2.2 Parity Method; 3.2.3 Computation of the Decision Threshold for the AWGN Model; 3.3 Fault Detection and Exclusion in the Position Domain
- 3.3.1 Solution Separation with a Single Fault3.3.2 Bias Estimator; 3.3.3 Solution Separation Test with a Generic Number of Faults; 3.4 Comparison Between Methods in the Range and in the Position Domains; 3.5 Residual and Solution Separation Tests: Geometric Interpretation and Efficient Implementation; 3.5.1 Efficient Implementation in Single Fault Case; 3.5.2 Efficient Implementation in Double Fault Case; 3.6 Conclusions; References; 4 Evaluation of the Confidence Intervals; 4.1 Confidence Interval in the Case of a Single Fault; 4.1.1 Alert Limit, Integrity Risk, and Protection Level
- 4.1.2 The Effect of Bias in a Single Satellite4.1.3 Confidence Interval Computation in a Slope-Based RAIM; 4.1.4 Fault Detection Algorithms in a Slope-Based RAIM; 4.2 Method to Evaluate an Upper Bound for PL; 4.2.1 Nominal and Faulty Conditions: Binary Hypothesis Case; 4.2.2 Hypothesis mathscrHa: Error Model Based on Non Zero Mean Gaussian PDF; 4.2.3 Confidence Interval in the Case of Multiple Faults; 4.2.4 Estimation of the Mean of the Gaussian Error Model; 4.2.5 Modelling of the Variance of the Gaussian Error Model; 4.2.6 Fault Tree; 4.3 Stanford Plot; 4.4 Final Remarks on RAIM Algorithms
- Extent
- 1 online resource.
- Form of item
- online
- Isbn
- 9783319790848
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-3-319-79084-8
- System control number
-
- on1032070728
- (OCoLC)1032070728
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/GNSS-for-rail-transportation--challenges-and/XBzLvUvDoxE/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/GNSS-for-rail-transportation--challenges-and/XBzLvUvDoxE/">GNSS for rail transportation : challenges and opportunities, Letizia Lo Presti, Salvatore Sabina, editors, (electronic book)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>
