A precise digital map for GALILEO-based train positioning systems

Gerlach, Katrin; Hörste, Michael Meyer zu

doi:10.1109/itst.2009.5399330

Cited by 14 publications

(8 citation statements)

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“…The provision of a digital map for map matching is discussed by Gerlach and zu Hörste. [45] Map matching means matching the trajectory taken by a vehicle and 'matching' it up to a digital map. The map matching needs to take place in real time for command and control applications, but can take place off line and use all available information for some applications such as locating geometrical features.…”

Section: Map Matchingmentioning

confidence: 99%

Perspectives on railway track geometry condition monitoring from in-service railway vehicles

Weston

Roberts

Yeo

et al. 2015

Vehicle System Dynamics

188

130

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This paper presents a view of the current state of monitoring track geometry condition from in-service vehicles. It considers technology used to provide condition monitoring; some issues of processing and the determination of location; how things have evolved over the past decade; and what is being, or could/should be done in future research. Monitoring railway track geometry from an in-service vehicle is an attractive proposition that has become a reality in the past decade. However, this is only the beginning. Seeing the same track over and over again provides an opportunity for observing track geometry degradation that can potentially be used to inform maintenance decisions. Furthermore, it is possible to extend the use of track condition information to identify if maintenance is effective, and to monitor the degradation of individual faults such as dipped joints. There are full unattended track geometry measurement systems running on in-service vehicles in the UK and elsewhere around the world, feeding their geometry measurements into large databases. These data can be retrieved, but little is currently done with the data other than the generation of reports of track geometry that exceeds predefined thresholds. There are examples of simpler systems that measure some track geometry parameters more or less directly and accurately, but forego parameters such as gauge. Additionally, there are experimental systems that use mathematics and models to infer track geometry using data from sensors placed on an in-service vehicle. Finally, there are systems that do not claim to measure track geometry, but monitor some other quantity such as ride quality or bogie acceleration to infer poor track geometry without explicitly measuring it.

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Section: Map Matchingmentioning

confidence: 99%

Perspectives on railway track geometry condition monitoring from in-service railway vehicles

Weston

Roberts

Yeo

et al. 2015

Vehicle System Dynamics

188

130

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“…First, while previous attempts at rail data frameworks have tended to take a bottom-up approach to understanding specific topics (e.g. De Fabris et al 11 and Gerlach and Meyer zu Horste 12 ), this paper presents an evidence-based top-down 'map' of the diverse range of scenarios in which wider data exchange, facilitated by a common data framework, could provide value to the industry. This 'map' can guide future framework development efforts towards areas of highest impact.…”

Section: Introductionmentioning

confidence: 99%

Applications, value and barriers of common data frameworks in the rail industry of Great Britain

Golightly

Easton

Roberts

et al. 2013

Proceedings of the Institution of Mechanical Engineers, Part F:

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In the rail industry, the exchange of data across system and organisational boundaries is an essential step in the delivery of advances such as intelligent infrastructure, end-to-end ticketing, improved passenger information, real-time capacity management and greater interoperability between stakeholders. The industry, however, faces a serious challenge in the form of siloed, legacy ICT systems based around different technologies and data formats. One solution to this problem can be found in the implementation of open data interfaces that use a conceptual representation of the railway network to facilitate the exchange of information while preserving its underlying meaning. The work reported in this paper used two engagement exercises involving industry stakeholders to, first, generate a set of applications for wider information sharing in the rail industry of Great Britain; second, compile a list of the benefits of such an approach to the rail industry; and, third, identify the most significant barriers to implementation. The paper should therefore be valuable for anyone in industry or in academia working on projects that depend on the exchange of data between systems and stakeholders to support rail operations and strategy.

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“…Features directly used for train-borne localization are for example ferromagnetic inhomogeneities of the rails [15] or characteristic distortions of the earth magnetic-field along the railway track [16]. Other features may be characteristic infrastructure elements like bridges, tunnels or stations, as suggested in [17] which can help to increase the accuracy and availability of GNSS positioning results.…”

Section: A Map Typesmentioning

confidence: 99%

“…Some further conclusions on the requirements for digital track-maps as well as some modeling schemes can be found in[17],[20],[21].…”

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confidence: 99%

Generating Compact Geometric Track-Maps for Train Positioning Applications

Winter

Luthardt

Willert

et al. 2019

2019 IEEE Intelligent Vehicles Symposium (IV)

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In this paper, we present a method to generate compact geometric track-maps for train-borne localization applications. Therefore, we first give a brief overview on the purpose of track maps in train-positioning applications. It becomes apparent that there are hardly any adequate methods to generate suitable geometric track-maps. This is why we present a novel map generation procedure. It uses an optimization formulation to find the continuous sequence of track geometries that fits the available measurement data best. The optimization is initialized with the results from a localization filter [1] developed in our previous work. The localization filter also provides the required information for shape identification and measurement association. The presented approach will be evaluated on simulated data as well as on real measurements.

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A precise digital map for GALILEO-based train positioning systems

Cited by 14 publications

References 0 publications

Perspectives on railway track geometry condition monitoring from in-service railway vehicles

Perspectives on railway track geometry condition monitoring from in-service railway vehicles

Applications, value and barriers of common data frameworks in the rail industry of Great Britain

Generating Compact Geometric Track-Maps for Train Positioning Applications

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