2008
DOI: 10.1243/09544097jrrt225
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Performance-based track geometry and the track geometry interaction map

Abstract: The track geometry interaction map (TGIM) is proposed as an effective way to evaluate the impact of multiple track geometry parameters on rail safety. Multi-body dynamics software has been used to simulate vehicle performance over tracks containing a large number of randomly generated lateral and vertical track geometry combinations. A TGIM-based safety threshold is generated that appears to offer both economic and safety advantages over the current Federal Railroad Administration track safety standards.

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Cited by 11 publications
(8 citation statements)
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“…In [117], the concept of 'Track Geometry Interaction Map (TGIMP)' has been introduced. The combined influence of surface (longitudinal level) and alignment irregularities has been studied in simulations.…”
Section: Feature Extractionmentioning
confidence: 99%
See 1 more Smart Citation
“…In [117], the concept of 'Track Geometry Interaction Map (TGIMP)' has been introduced. The combined influence of surface (longitudinal level) and alignment irregularities has been studied in simulations.…”
Section: Feature Extractionmentioning
confidence: 99%
“…In the aforementioned formulation, the strength of the lateral/vertical interaction can be adjusted by the constant m, m 1 for weak interaction, m 1 for strong interaction and 1 < m < 2 for moderate interaction (m = 2 giving a circular or elliptic contour and is equal to the combined standard deviation as shown earlier, if standard deviation is used as feature). The approach has been tested by many simulations; a validation by measured results is not given in [117].…”
Section: Feature Extractionmentioning
confidence: 99%
“…[18], a method to characterise track irregularities for performance-based track geometry (PBTG) quality called track geometry interaction map is presented. One of the issues that this method aims to deal with is the interaction effect between two parameters, lateral and vertical track irregularities, for instance, when relating track geometry quality to the vehicle response.…”
Section: Problem Outline and Motivationmentioning
confidence: 99%
“…[8] It is also important to understand the multiplicity of vehicle responses by testing and simulation for the acceptance of running characteristics of railway vehicles. [9] longitudinal level cross level alignment wheelset vertical acceleration wheelset lateral acceleration Based on track geometric irregularities, complex multi-body software is used to estimate acceleration on the vehicle, and the literature deals with the development of so-called performance-based track geometry [10]. The vehicle-track system contains many nonlinearities, and neural networks are particularly suitable for analyzing them.…”
Section: Figure 1 System View Of Track Geometry Parameters and Wheelmentioning
confidence: 99%