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Keywords: electric traction simulation, railway track, topographic model, GPS, train.

Summary

This paper presents an alternative method to acquire geometric data of railways for train motion simulations using a global navigation satellite system (GNSS) based on a global positioning system (GPS) receiver. The field data used in the development of this method was recorded in one train ride in Portugal, from Campolide to Sintra, inside the passenger car.

The railway track's model data needed in a single train motion simulation include slope and curve radius information [1] that are usually obtained from track gradient profile drawings, which contain data about each track segment location, size, slope and curves. But a track's geometrical details might be lost, misplaced, or simply hard to obtain for an individual and when designing new railway tracks there is no topographic data available to feed train motion simulations.

Railway operators resort to expensive and time consuming topographic surveys to collect the necessary data for modelling their tracks [2,3]. The proposed methodology is fast since it gathers the track data during a train ride and uses low cost equipment.

The recorded data [4,5,6] was transferred and processed [7] in a MATLAB framework. The results include a table representing points of the railway track through their latitude, longitude and altitude coordinates. Public available maps with detailed railway tracks layout are quite rare compared to road maps [3]. That makes it harder to check the integrity of the field data calculated coordinates of the railway tracks. The adopted solution was to draw these coordinates over satellite photos from Google Maps, using a MATLAB program developed for this purpose.

Final results for the track profile and curvature radius were compared with available data and found coherent. Improvements in the data filtering process [8,9] and the use of data from several train voyages may improve even further the achieved results.

References

1: D. Toledo, F. Polloni, W. Martins, C. Martins, "Tração Elétrica", 1st ed., Nobel, São Paulo, Brasil, 54, 55, 96, 1987.
2: P. Martin, "Train performance simulation", 2008 IET Professional Development course on Electric Traction Systems, 215-230, 3-7 Nov. 2008. doi:10.1049/ic:20080515
3: T. Ho, B. Mao, Z. Yuan, H. Liu, Y. Fung, "Computer simulation and modeling in railway applications", Computer Physics Communications, 143, 1, 1-10, 1 Feb. 2002. doi:10.1016/S0010-4655(01)00410-6
4: Volkslogger User Manual, ed. 1.7.2, Garrecht Ingenieurgesellschaft, 4, 9, 2000.
5: Globalsat.co.uk Bluetooth GPS BT-359S. URL
6: VisualGPSce. URL
7: M.J. Smith, M.F. Goodchild, P.A. Longley, "Geospatial Analysis", 2nd ed., Troubador Publishing Ltd, Leicester, United Kingdom, 54, 2007.
8: G. He, G. Orvets, "Capturing Road Network Data Using Mobile Mapping Technology", in "International Archives of Photogrammetry and Remote Sensing", Amsterdam, The Netherlands, Vol. XXXIII, Part B2, 272-277, 2000.
9: J. Collin, G. Lachapelle, J. Kappi, "MEMS-IMU for Personal Positioning in a Vehicle - A Gyro-Free Approach", GPS 2002 Conference (Session C3a), Portland, Oregon, 24-27 Sep. 2002.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 98 PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 145 Topographic Modelling of a Railway Track using a Global Navigation Satellite System N.C. Dias¹, N.F. Henriques¹, J.M.F. Calado², M.A. Calado³ and S.S. Mariano³ ¹ISEL, ²IDMEC/ISEL, Instituto Superior de Engenharia de Lisboa, Polytechnic Institute of Lisbon, Portugal ³Faculty of Engineering, Universidade da Beira Interior, Covilhã, Portugal doi:10.4203/ccp.98.145 purchase the full-text of this paper Full Bibliographic Reference for this paper N.C. Dias, N.F. Henriques, J.M.F. Calado, M.A. Calado, S.S. Mariano, "Topographic Modelling of a Railway Track using a Global Navigation Satellite System", in J. Pombo, (Editor), "Proceedings of the First International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 145, 2012. doi:10.4203/ccp.98.145 Keywords: electric traction simulation, railway track, topographic model, GPS, train. Summary This paper presents an alternative method to acquire geometric data of railways for train motion simulations using a global navigation satellite system (GNSS) based on a global positioning system (GPS) receiver. The field data used in the development of this method was recorded in one train ride in Portugal, from Campolide to Sintra, inside the passenger car. The railway track's model data needed in a single train motion simulation include slope and curve radius information [1] that are usually obtained from track gradient profile drawings, which contain data about each track segment location, size, slope and curves. But a track's geometrical details might be lost, misplaced, or simply hard to obtain for an individual and when designing new railway tracks there is no topographic data available to feed train motion simulations. Railway operators resort to expensive and time consuming topographic surveys to collect the necessary data for modelling their tracks [2,3]. The proposed methodology is fast since it gathers the track data during a train ride and uses low cost equipment. The recorded data [4,5,6] was transferred and processed [7] in a MATLAB framework. The results include a table representing points of the railway track through their latitude, longitude and altitude coordinates. Public available maps with detailed railway tracks layout are quite rare compared to road maps [3]. That makes it harder to check the integrity of the field data calculated coordinates of the railway tracks. The adopted solution was to draw these coordinates over satellite photos from Google Maps, using a MATLAB program developed for this purpose. Final results for the track profile and curvature radius were compared with available data and found coherent. Improvements in the data filtering process [8,9] and the use of data from several train voyages may improve even further the achieved results. References 1 D. Toledo, F. Polloni, W. Martins, C. Martins, "Tração Elétrica", 1st ed., Nobel, São Paulo, Brasil, 54, 55, 96, 1987. 2 P. Martin, "Train performance simulation", 2008 IET Professional Development course on Electric Traction Systems, 215-230, 3-7 Nov. 2008. doi:10.1049/ic:20080515 3 T. Ho, B. Mao, Z. Yuan, H. Liu, Y. Fung, "Computer simulation and modeling in railway applications", Computer Physics Communications, 143, 1, 1-10, 1 Feb. 2002. doi:10.1016/S0010-4655(01)00410-6 4 Volkslogger User Manual, ed. 1.7.2, Garrecht Ingenieurgesellschaft, 4, 9, 2000. 5 Globalsat.co.uk Bluetooth GPS BT-359S. URL 6 VisualGPSce. URL 7 M.J. Smith, M.F. Goodchild, P.A. Longley, "Geospatial Analysis", 2nd ed., Troubador Publishing Ltd, Leicester, United Kingdom, 54, 2007. 8 G. He, G. Orvets, "Capturing Road Network Data Using Mobile Mapping Technology", in "International Archives of Photogrammetry and Remote Sensing", Amsterdam, The Netherlands, Vol. XXXIII, Part B2, 272-277, 2000. 9 J. Collin, G. Lachapelle, J. Kappi, "MEMS-IMU for Personal Positioning in a Vehicle - A Gyro-Free Approach", GPS 2002 Conference (Session C3a), Portland, Oregon, 24-27 Sep. 2002. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £110 +P&P)
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