Skip to main content

Advertisement

Log in

Multilevel Automated Security System for Prevention of Accidents at Unmanned Railway Level Crossings

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Developing technology to come up with viable, economic and efficient solutions for prevention of accidents at unmanned railway level crossings is an active research field. Many approaches have been proposed in this research area but none of them are efficient enough to deploy them at the unmanned level crossings and completely eliminate human presence. In this work, we have sensed the research gaps in the current technologies which try to eliminate the unmanned railway level crossings by building Road Over Bridges and Road Under Bridges or by manning them. We have come up with a cost efficient and effective multi-level automated system for prevention of accidents at the railway level crossings using sensor networks.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Dubey, A. (2010). Design and development of an automatic level crossing monitoring system using wireless sensor network in west central railway zone. Sensors and Transducers, 118(7), 156.

    Google Scholar 

  2. Mahdi, A. S. (2013). Al-Zuhairi, “automatic railway gate and crossing control based sensors & microcontroller. International Journal of Computer Trends and Technology (IJCTT), 4(7), 2135–2040.

    Google Scholar 

  3. Schabacher, G. (2019). Staged wrecks: The railroad crash between infrastructural lesson and amusement. In M. Korn, W. Reißmann, T. Röhl, & D. Sittler (Eds.), Infrastructuring publics (pp. 185–206). New York: Springer.

    Chapter  Google Scholar 

  4. Classification of Railways Accidents. Retrieved October 2, 2019, from https://www.brainkart.com/article/Classification-of-Railways-Accidents_4315/.

  5. Kiruthiga, M., Dhivya, M., Dhivya, P., & Yugapri, Y. R. (2014). Wireless communication system for railway signal automation at unmanned level. International Journal of Innovative Research in Science, Engineering and Technology, 3(1), 592–597.

    Google Scholar 

  6. Railways, I. (2015). Lifeline of the nation. A white paper, February.

  7. Hodge, V. J., O’Keefe, S., Weeks, M., & Moulds, A. (2015). Wireless sensor networks for condition monitoring in the railway industry: A survey. IEEE Transactions on Intelligent Transportation Systems, 16(3), 1088–1106.

    Article  Google Scholar 

  8. Accidents in Indian Railways-Review of the last 6 years (2015). Retrieved October 2, 2019, from https://factly.in/indian-railway-accidents-statistics-review-last-5-years/l.

  9. Sambamurthy, N., & Ahammad, S. H. (2013). Prevention of train accidents using wireless sensor networks. International Journal of Engineering research and Application, 3(6), 1–6.

    Google Scholar 

  10. Michalík, R., Janota, A., Nemec, D., & Hruboš, M. (2019). Co-operation of the control logic of the t-shape road intersection and the near railway level crossing. Transportation Research Procedia, 40, 1465–1472.

    Article  Google Scholar 

  11. Tjahjono, T., Kusuma, A., Pratiwi, Y. Y., & Purnomo, R. Y. (2019). Identification determinant variables of the injury severity crashes at road-railway level crossing in indonesia. Transportation Research Procedia, 37, 211–218.

    Article  Google Scholar 

  12. Pattanaik, L., & Yadav, G. (2015). Decision support model for automated railway level crossing system using fuzzy logic control. Procedia Computer Science, 48, 73–76.

    Article  Google Scholar 

  13. Sharad, S., Sivakumar, P. B., & Ananthanarayanan, V. (2016). An automated system to mitigate loss of life at unmanned level crossings. Procedia Computer Science, 92, 404–409.

    Article  Google Scholar 

  14. Vibration Sensors Information. Retrieved October 2, 2019, from https://www.globalspec.com/learnmore/sensors_transducers_detectors/acceleration_vibration_sensing/vibration_sensors.

  15. Common Reasons for Pressure Transmitter Failure. Retrieved October 2, 2019, from https://www.wika.us/solutions_pressure_transmitter_failure_en_us.WIKA.

  16. Raspberry Pi. Retrieved October 2, 2019, from https://www.raspberrypi.org/.

  17. Mehta Karankumar, D., Mehta Shreya, B., & Raviya Kapil, S. (2014). Analysis of TOI (things of internet) industrial monitoring system on raspberry pi platform. Analysis, 2(11), 33–40.

    Google Scholar 

  18. Global Positioning System (GPS)—definition. Retrieved October 2, 2019, from https://www.gsmarena.com/glossary.php3?term=gps.

  19. NEO-6 u-blox 6 GPS Modules Data Sheet. Retrieved October 2, 2019, from http://www.evelta.com/image/data/Datasheet/NEO-6_DataSheet_(GPS.G6-HW-09005).pdf.

  20. Grove—IR Distance Interrupter v1.2. Retrieved October 2, 2019, from http://wiki.seeed.cc/Grove-IR_Distance_Interrupter_v1.2/.

  21. GPS—NMEA sentence information. Retrieved October 2, 2019, from http://aprs.gids.nl/nmea/.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Diwakar Tripathi.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Edla, D.R., Tripathi, D., Kuppili, V. et al. Multilevel Automated Security System for Prevention of Accidents at Unmanned Railway Level Crossings. Wireless Pers Commun 111, 1707–1721 (2020). https://doi.org/10.1007/s11277-019-06952-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-019-06952-4

Keywords

Navigation