Dynamic Weighing to Improve Rail Freight Traffic Safety: A Case Study from the Czech Republic

Ližbetin, Ján; Vejs, Petr

doi:10.2478/ttj-2022-0018

Abstract

Railway traffic safety is a decisive factor involved in any decision-making process in the railway transport, including the overall weight of cars, i.e., potential overloading. Overloaded rolling stock may cause many serious accidents. The presented article comprises two parts: the theoretical one explores the ways of progressive dynamic weighing of shipment. The practical part took place at Horní Dvořiště railway station, measuring the impact of the dynamic weighing on the decline in vehicular overloading.

References

1. Brumercikova, E., Bukova, B. and Nedeliakova, E. (2020) A Proposal for the Account-Based Ticketing Application in Passenger Transport in the Slovak Republic: A Case Study. Sustainability, 12(14), Article Number 5491. DOI: 10.3390/su12145491.
Open DOI Search in Google Scholar Back to article
2. Ding, Y. and Cheng, L.R. (2018) Dynamic Calibration of a Weigh in Motion System, In: Proceedings of the ASME Joint Rail Conference, Pittsburgh, PA, Apr. 18-20, New York: AMER SOC MECHANICAL ENGINEERS.10.1115/JRC2018-6222
Search in Google Scholar Back to article
3. Doupal, E. and Barz, D. (2009) Fusibility Study for On-line Wheel Weighing System for Rail Vehicles, Kistler AG Winterthur (Report 4-212 REV 0).
Search in Google Scholar Back to article
4. Doupal, E. (2012) Measuring Technology Rail WIM, Brno: Transport Research Centre.
Search in Google Scholar Back to article
5. Filograno, M. L., Corredera, P., Rodriguez-Plaza, M., Andres-Alguacil, A. and Gonzalez-Herraez, M. (2013) Wheel Flat Detection in High-Speed Railway Systems using Fiber Bragg Gratings. IEEE Sensors, 13(12), 4808–4816. ISSN 1530-437X.10.1109/JSEN.2013.2274008
Search in Google Scholar Back to article
6. Grakovski, A., Pilipovecs, A., Kabashkin, I. and Petersons, E. (2014) Weight-in-motion estimation based on reconstruction of tyre footprint’s geometry by group of fibre optic sensors. Transport and Telecommunications, 15(2), 97–110. DOI: 10.2478/ttj-2014-0009.
Open DOI Search in Google Scholar Back to article
7. Hitka, M., Rozsa, Z., Potkany, M., Lizbetinova, L. (2019) Factors forming Employee Motivation influenced by regional and Age-Related Differences. Journal of Business Economics and Management, 20(4), 674–693. DOI 10.3846/jbem.2019.6586.
Open DOI Search in Google Scholar Back to article
8. Hokstok, C. (2013) Application framework of value stream costing (VSC) for supporting rail infrastructure controlling. Logi – Scientific Journal on Transport and Logistics, 4(1), 63–80. ISSN 1804-3216.
Search in Google Scholar Back to article
9. Jaskiewicz, M., Frej, D. and Sarkan, B. (2020) Construction of the Knee Joint of the Dummy Designed for Crash Tests. LOGI 2019 – Horizons of autonomous mobility in Europe, 44, 121-128. DOI 10.1016/j.trpro.2020.02.018.
Open DOI Search in Google Scholar Back to article
10. Li, Q., Ding, X.G., Li, X. and Ye, G. (2007) A dynamic weighing system based on system model. In: 6th WSEAS International Conference on Instrumentation, Measurement, Circuits and Systems/7th WSEAS International Conference on Robotics, Control and Manufacturing Technology, Hangzhou, Apr. 15-17, 2007, Athens: WORLD SCIENTIFIC AND ENGINEERING ACAD AND SOC, p. 52.
Search in Google Scholar Back to article
11. Lizbetin, J., Vejs, P., Stopka, O. and Cempirek, V. (2016) The Significance of Dynamic Detection of the Railway Vehicles Weight. Nase More, 63(3), 156–160. DOI 10.17818/NM/2016/SI15.
Open DOI Search in Google Scholar Back to article
12. Mankowski, C., Weiland, D. and Abramovic, B. (2019) Impact of Railway Investment on regional Development – Case Study of Pomeranian Metropolitan Railway. Promet-Traffic & Transportation, 31(6), 669–679. DOI 10.7307/ptt.v31i6.3231.
Open DOI Search in Google Scholar Back to article
13. Morozow, D., Barlak, M., Werner, Z., Pisarek, M., Konarski, P., Zagorski, J., Rucki, M., Chalko, L., Lagodzinski, M. and Narojczyk, J. (2021) Wear Resistance Improvement of Cemented Tungsten Carbide Deep-Hole Drills after Ion Implantation. Materials, 14(2), Article Number 239. DOI 10.3390/ma14020239.782512133418938
Open DOI Search in Google Scholar Back to article
14. Mortezaee, H., Jalili, M.M. and Ahmadian, M.T. (2012) Investigation on Effects of the sleeper Defects on Rail Vehicle Vibration. In: 24th Conference on Mechanical Vibration and Noise, Chicago, Aug. 12-15, 2012, New York: AMER SOC MECHANICAL ENGINEERS, p. 865.10.1115/DETC2012-70796
Search in Google Scholar Back to article
15. Nedeliakova, E., Hudakova, M., Masar, M., Lizbetinova, L., Stasiak-Betlejewska, R. and Sulko, P. (2020) Sustainability of Railway Undertaking Services with Lean Philosophy in Risk Management-Case Study. Sustainability, 12(13), Article Number 5298. DOI 10.3390/su12135298.
Open DOI Search in Google Scholar Back to article
16. Pau, A. and Vestroni, F. (2021) Weigh-in-motion of train loads based on measurements of rail strains. Structural Control & Health Monitoring, 28(11), Article Number 2818. DOI 10.1002/stc.2818.
Open DOI Search in Google Scholar Back to article
17. Rindi, A., Pugi L. and Meli, E. (2012) Weighing in Motion of Railway Vehicles: Development and Comparison of Different Identification/Measurement Techniques. ECCOMAS 2012, 1337–1356. ISBN 978-395035370-9.
Search in Google Scholar Back to article
18. Shi, Y.P. (2010) The Computer Aided Experiment for Dynamic Weigh Rail Sensor. In: 2nd ETP/IITA World Congress in Applied Computing, Computer Science, and Computer Engineering, Shenzhen, Apr. 17-18, 2010, Hong Kong: ETP-ENGINEERING TECHNOLOGY PRESS, pp. 28-31.
Search in Google Scholar Back to article
19. Shi, Y.P. (2011) A New Stress Sensor Based on Amorphous Alloy for dynamic Weigh Rail. Advanced Research on Industry, Information Systems and Material Engineering, 204–210, 608–611. DOI 10.4028/www.scientific.net/AMR.204-210.60.
Open DOI Search in Google Scholar Back to article
20. Tomasikova, M., Brumercik, F. and Nieoczym, A. (2015) Vehicle Simulation Model Criterion. Logi - Scientific Journal on Transport and Logistics, 6(1), 130–135. ISSN 1804–3216.
Search in Google Scholar Back to article
21. Wisnicki, B. and Wolnowska, A. (2011) The Systems of Automatic Weight Control of Vehicles in the Road and Rail Transport in Poland. Logforum, 7(3), 25–33.
Search in Google Scholar Back to article
22. Yoeseph, N.M., Marzuki, A., Yunianto, M. and Purnomo, F.A. (2019) Study of Weight in Motion Sensor for Railroad Crossing Warning System Using Artificial Neural Network. In: 3rd International Conference on Advanced Materials for Better Future (ICAMBF), Surakarta, Oct. 15-16, 2018, Bristol: IOP PUBLISHING LTD, Article Number 012086.10.1088/1757-899X/578/1/012086
Search in Google Scholar Back to article
23. Zheng, C., Chen, J. and Chen, J. (2011) A Mine’s Dynamic Rail Track Scale with Automatic Motion Direction Judge. In: International Conference on Business Management and Electronic Information, BMEI 2011, Guangzhou, 13–15 May 2011, Institute of Electrical and Electronics Engineers, pp. 686-689.
Search in Google Scholar Back to article
24. Zheng, C. and Chen, J. (2012) Design of the Data Acquisition System for Mine’s Dynamic Rail Track Scale. Applied Mechanics and Materials, 220–223, 2040–2043. ISSN:1660-9336.10.4028/www.scientific.net/AMM.220-223.2040
Search in Google Scholar Back to article
25. Znidaric, A., Kalin, J., Kreslin, M., Favai, P. and Kolakowski, P. (2016) Railway bridge Weigh-in-Motion system. Transport Research Arena TRA2016, 14, 4010–4019. DOI 10.1016/j.trpro.2016.05.498.
Open DOI Search in Google Scholar Back to article
26. Zulova, L., Grega, R., Krajnak, J., Fedorko, G. and Molnar, V. (2017) Optimization of noisiness of mechanical system by using a pneumatic tuner during a failure of piston machine. Engineering Failure Analysis, 79, 845–851. DOI 10.1016/j.engfailanal.2017.05.044.
Open DOI Search in Google Scholar Back to article

Dynamic Weighing to Improve Rail Freight Traffic Safety: A Case Study from the Czech Republic

Abstract

Paradigm

My account