Chapter
Aug 31, 2020
International Conference on Transportation and Development 2020

Architecture for an Intelligent Low-Cost Rail Track Condition Evaluation System

Publication: International Conference on Transportation and Development 2020

ABSTRACT

The railroad industry plays a crucial role in stimulating the economic growth of a nation. Therefore, monitoring the conditions of railroad is vitally essential for ensuring railroad safety. Railroad maintenance systems have integrated advanced technologies to help inspectors detect and localize anomalies that can cause casualties and financial losses. However, railroads cannot afford to use these complex technologies to monitor and inspect all railroad tracks or important routes more often. Intelligent transportation systems (ITS) embed information, communication, and sensor technologies into vehicles and transportation infrastructure to supply real-time information that agencies can use to make better decisions. This research used an ITS approach to develop a scalable and affordable track condition monitoring system. This paper describes the architecture of the system that will autonomously identify track anomalies to focus follow-up inspections. Data measured from a regional railroad showed that the proposed system would be effective and affordable for practical applications.

Get full access to this article

View all available purchase options and get full access to this chapter.

REFERENCES

Barbosa, R. S. (2016). “New method for railway track quality identification through the safety dynamic performance of instrumented railway vehicle.” Journal of the Brazilian Society of Mechanical Sciences and Engineering, Springer Berlin Heidelberg, 38(8), 2265–2275.
Bhardwaj, B., Bridgelall, R., Lu, P., and Dhingra, N. (2019). “Railroad Track Irregularities Position Accuracy Assessments using Low-Cost Sensors on a Hi-Rail Vehicle.” International Conference on Transportation and Development 2019, ASCE, 458–465.
Bocciolone, M., Caprioli, A., Cigada, A., and Collina, A. (2007). “A measurement system for quick rail inspection and effective track maintenance strategy.” Mechanical Systems and Signal Processing.
Bridgelall, R., Chia, L. A., Bhardwaj, B., Lu, P., Tolliver, D. D., and Dhingra, N. (2019). “Enhancement of signals from connected vehicles to detect roadway and railway anomalies.” Measurement Science and Technology, IOP Publishing, 31(3), 1–11.
Bridgelall, R., Huang, Y., Zhang, Z., and Deng, F. (2016). “Precision enhancement of pavement roughness localization with connected vehicles.” Measurement Science and Technology, IOP Publishing, 27(2).
Briso-Rodríguez, C., Guan, K., Xuefeng, Y., and Kürner, T. (2017). “Wireless communications in smart rail transportation systems.” Wireless Communications and Mobile Computing, 2017.
Choi, I. Y., Um, J. H., Lee, J. S., and Choi, H. H. (2013). “The influence of track irregularities on the running behavior of high-speed trains.” Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 227(1), 94–102.
Flammini, F., Gaglione, A., Ottello, F., Pappalardo, A., Pragliola, C., and Tedesco, A. (2010). “Towards wireless sensor networks for railway infrastructure monitoring.” International Conference on Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS 2010, IEEE, 5–10.
Janušová, L., and Čičmancová, S. (2016). “Improving Safety of Transportation by Using Intelligent Transport Systems.” 9th International Scientific Conference Transbaltica 2015, Procedia Engineering, 14–22.
Karakose, M., Yaman, O., Murat, K., and Akin, E. (2018). “A new approach for condition monitoring and detection of rail components and rail track in railway.” International Journal of Computational Intelligence Systems, 11(1), 830–845.
Li, C., Luo, S., Cole, C., and Spiryagin, M. (2017). “An overview: modern techniques for railway vehicle on-board health monitoring systems.” Vehicle System Dynamics, 55(7), 1045–1070.
Li, H., Jia, L., Zhang, Y., Liu, C., and Rong, J. (2016). “Wireless sensor networks of infrastructure health monitoring for high-speed railway.” Shock and Vibration, 2016.
Mori, H., Tsunashima, H., Kojima, T., Matsumoto, A., and Mizuma, T. (2010). “Condition Monitoring of Railway Track Using In-service Vehicle.” Journal of Mechanical Systems for Transportation and Logistics, 3(1), 154–165.
Qureshi, K. N., and Abdullah, A. H. (2013). “A survey on intelligent transportation systems.” Middle East Journal of Scientific Research, 15(5), 629–642.
Shi, R., and Ni, S. (2015). “Theory and Application of Railway Intelligent Transportation Systems.” 5th International Conference on Transportation Engineering, ASCE, 493–497.
Tsunashima, H., Mori, H., Ogino, M., and Asano, A. (2015). “Development of Track Condition Monitoring System Using On-board Sensing Device.” Railway Research:Selected Topics on Development, Safety and Technology, 145.
Velmurugan, K., and Rajesh.T. (2016). “Advanced Railway Safety Monitoring System based on Wireless Sensor Networks.” International Journal of Computer Science Engineering & Technology, 6(2), 89–94.
Vinod, B., and Santhosh, B. K. (2016). “Review On Railway Bridge & Track Condition.” International Journal of Advance Research, Ideas and Innovations in Technology, 2(4), 1–5.
Wu, X. F., Chen, C., Bu, J. J., and Chen, G. (2011). “Sensor network architecture for intelligent high-speed train on-board monitoring.” Journal of Zhejiang University: Science A, 12(12), 921–925.

Information & Authors

Information

Published In

Go to International Conference on Transportation and Development 2020
International Conference on Transportation and Development 2020
Pages: 222 - 230
Editor: Guohui Zhang, Ph.D., University of Hawaii
ISBN (Online): 978-0-7844-8314-5

History

Published online: Aug 31, 2020
Published in print: Aug 31, 2020

Permissions

Request permissions for this article.

Authors

Affiliations

Bhavana Bhardwaj [email protected]
1Dept. of Computer Science, North Dakota State Univ., Fargo, ND. Email: [email protected]
Raj Bridgelall, Ph.D.
2Dept. of Transportation, Logistics and Finance, Upper Great Plains Transportation Institute, North Dakota State Univ., Fargo, ND
Pan Lu, Ph.D.
3Dept. of Transportation, Logistics and Finance, Upper Great Plains Transportation Institute, North Dakota State Univ., Fargo, ND
Kendall E. Nygard, Ph.D.
4Dept. of Computer Science, North Dakota State Univ., Fargo, ND
Neeraj Dhingra
5Dept. of Transportation, Logistics and Finance, Upper Great Plains Transportation Institute, North Dakota State Univ., Fargo, ND

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.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$80.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$80.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share