Optimal Match Method for Milepoint Postprocessing of Track Condition Data from Subway Track Geometry Cars
Publication: Journal of Transportation Engineering
Volume 142, Issue 8
Abstract
Precise milepoint measurement data are essential for better subway track management and maintenance practices within railroads and subways. For milepoint estimation, dead reckoning systems of some subway track geometry cars use as pesudolite markers having no unique identification information. In such cases, milepoint measurement data have to be postprocessed. However, the postprocessing is conducted in a manual fashion and is time consuming and labor intensive. This paper presents an optimal match method to automatically postprocess milepoint measurement data. The presented method consists of three submodels: (1) dynamic-programming-based distribution-pattern match model for differentiating actual markers from false-positive ones, (2) correlation-analysis-based algorithm determining milepoints for recognized markers, and (3) a linear interpolation equation for milepoint revision. The method was applied to 124 inspection runs for 15 tracks of the Beijing subway system whose track geometry car is such a case. It is shown that the developed method outperforms the manual method in milepoint accuracy. It takes the developed method less than 3 min to complete milepoint revision for an inspection run of the longest track in Beijing subways.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
This work was supported by Beijing Jiaotong University under Grant 2015JBM051. Beijing Subway provided data from its track geometry car and other related data for this research. Mr. Yong Lin and Mr. Jian Huang of Beijing Subway shared their knowledge regarding the data and their track geometry car.
References
American Railway Engineering and Maintenance-of-Way Association. (2003). “Practical guide to railway engineering.” Lanham, MD.
Bartram, D., Burrow, M., and Yao, X. (2008). “A computational intelligence approach to railway track intervention planning.” Studies in computational intelligence, Vol. 88, Springer, Berlin, 163–198.
Bertsekas, D. P. (1995). Dynamic programming and optimal control, Athena Scientific, Belmont, MA, 1–62.
Boroujeni, B. Y., Frey, H. C., and Sandhu, G. S. (2013). “Road grade measurement using in-vehicle, stand-alone GPS with barometric altimeter.” J. Transp. Eng., 605–611.
Deng, X. T., and Ye, Y. M. (2004). Inspection principles of quasi-high speed track inspection car, China Railway Press, Beijing.
Editorial Board for Encyclopedia of China Railways Engineering and Railway Maintenance. (2004). Encyclopedia of China railways engineering & railway maintenance, China Railway Press, Beijing.
Esveld, C. (2001). Modern railway track, Delft Univ. of Technology, Delft, Netherlands.
General Administration of Quality Supervision Inspection and Quarantine of the People’s Republic of China and Ministry of Housing and Urban-Rural Development of the People’s Republic of China. (2013). “Metro design interim provisions.”, Architecture and Industry Publishing House of China, Beijing.
Hanreich, D. W., Mittermayr, P., and Presle, G. (2002). “Track geometry measurement database and calculation of equivalent conicities of the OBB network.” AREMA 2002 Annual Conf., American Railway Engineering and Maintenance-of-Way Association, Lanham, MD.
Infrastructure Inspection Center of MOR. (2007). “Track inspection technologies & operation and maintenance of track inspection car.” China Academy of Railway Science, Beijing.
Jamieson, D., Bloom, J., and Kelshaw, R. (2001). “T-2000: A railroad track geometry inspection vehicle for the 21st century.” AREMA 2001 Annual Conf., American Railway Engineering and Maintenance-of-Way Association, Lanham, MD.
Liu, R., and Xu, P. (2012). “Track irregularity condition indices for Beijing Metro.” Road Administration of Beijing Municipal Commission of Transport, Beijing.
Ministry of Railways of the People’s Republic of China. (2006). New railway line design interim provisions for mixed passenger and freight traffic under , China Railway Press, Beijing.
Ministry of Railways of the People’s Republic of China. (2007). New railway line design interim provisions for passenger dedicated traffic between 300 and , China Railway Press, Beijing.
Ndoye, M., Barker, A. M., Krogmeier, J. V., and Bullock, D. M. (2011). “A recursive multiscale correlation-averaging algorithm for an automated distributed road-condition-monitoring system.” IEEE Trans. Intell. Transp. Syst., 12(3), 795–808.
O’Brien, D. K. (2005). “Optimal estimation and rail tracking analysis.” Ph.D. dissertation, Univ. of Massachusetts, Lowell, MA.
Oracle. (2013). “Oracle Database 12c PL/SQL.” 〈http://www.oracle.com/technetwork/database/features/plsql/index.html〉 (Jan. 15, 2014).
Pedanekar, N. R. (2006). “Methods for aligning measured data taken from specific rail track sections of a railroad with the correct geographic location of the sections.” U.S.P. Office, IN.
Profillidis, V. A. (2006). Railway management and engineering, Ashgate Publishing, Surrey, U.K.
Saab, S. S. (2000a). “A map matching approach for train positioning. Part I: Development and analysis.” IEEE Trans. on Veh. Technol., 49(2), 467–475.
Saab, S. S. (2000b). “A map matching approach for train positioning. Part II: Application and experimentation.” IEEE Trans. on Veh. Technol., 49(2), 476–484.
Santos, A. J. D., Soares, A. R., Redondo, F. M. D. A., and Carvalho, N. B. (2005). “Tracking trains via radio frequency systems.” IEEE Trans. Intell. Transp. Syst., 6(2), 244–258.
Sato, Y. (2001). Track dynamics, China Railway Press, Beijing.
Selig, E. T., Cardillo, G. M., Stephens, E., and Smith, A. (2008). “Analyzing and forecasting railway data using linear data analysis.” Proc., 11th Int. Conf. on Computer System Design and Operation in Railways and other Transit Systems, J. Allan, et al., eds., Vol. 103, Southampton, U.K., 25–34.
Sui, G., Li, H., and Xu, Y. (2009). “Mileage calibration algorithm of track geometry data.” J. Transp. Inf. Saf., 27(6), 18–21.
Urman, S., Hardman, R., and McLaughlin, M. (2004). Oracle Database 10 g PL/SQL programming, McGraw-Hill/Osborne, New York.
Vu, A., Ramanandan, A., Chen, A. N., Farrell, J. A., and Barth, M. (2012). “Real-time computer vision/DGPS-aided inertial navigation system for lane-level vehicle navigation.” IEEE Trans. Intell. Transp. Syst., 13(2), 899–913.
Weisstein, E. W. (2014). “Correlation coefficient.” 〈http://mathworld.wolfram.com/CorrelationCoefficient.html〉 (May 12, 2014).
Xu, P., Liu, R., Sun, Q., and Jiang, L. (2015a). “Dynamic-time-warping-based measurement data alignment model for condition-based railroad track maintenance.” IEEE Trans. Intell. Transp. Syst., 16(2), 799–812.
Xu, P., Sun, Q., Liu, R., Souleyrette, R. R., and Wang, F. (2015b). “Optimizing the alignment of inspection data from track geometry cars.” Comput.-Aided Civ. Infrastruct. Eng., 30(1), 19–35.
Xu, P., Sun, Q., Liu, R., and Wang, F. (2013). “Key equipment Identification model for correcting milepost errors of track geometry data from track inspection cars.” Transp. Res. Part C Emerg. Technol., 35, 85–103.
Yang, A. H. (2009). “Automatic correct milepost system of geometry inspection car based on RFID.” Railway Comput. Appl., 18(10), 39–41.
Information & Authors
Information
Published In
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Aug 13, 2015
Accepted: Feb 3, 2016
Published online: Apr 5, 2016
Published in print: Aug 1, 2016
Discussion open until: Sep 5, 2016
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.