Railway Gate Automation System Using Lidar Technology


Authors : Soham N. Kulkarni; Vaishnavi A. Patange; Bhavna R. Pawar

Volume/Issue : Volume 9 - 2024, Issue 11 - November


Google Scholar : https://tinyurl.com/bdekskrf

Scribd : https://tinyurl.com/3m3xyx6x

DOI : https://doi.org/10.38124/ijisrt/IJISRT24NOV207

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : Railway gate management technology using LiDAR (Light Detection and Ranging) offers several benefits for enhancing safety and efficiency at level crossings. LiDAR can accurately detect approaching trains and vehicles, providing real-time data on their speed and distance. It can identify obstacles or individuals near the tracks, reducing the risk of accidents. Traffic signals at railway gates can be adjusted dynamically based on real-time data, minimizing delays for vehicles when no trains are approaching. LiDAR sensor emit laser pulses and measure the time it takes for the light to return after reflecting off objects. They create precise 3D maps of the surrounding area. A computer or server that processes the raw data collected by the LiDAR sensors. This system integrates with the railway's existing signalling and control infrastructure. Overall, the deployment of LiDAR technology in railway gate management can significantly enhance safety and operational efficiency while providing valuable data for future improvements.

Keywords : 3D Mapping, Detection and Rangging, Railway Signalling, Safety Enhancement, Operational Efficiency.

References :

  1. Wisultschew, C., Mujica, G., Lanza-Gutierrez, J. M., & Portilla, J. (2021). “3D-LIDAR Based Object Detection and Tracking on the Edge of IoT for Railway Level Crossing”. IEEE Access.
  2. Fengming Hu, Freek J. van Leijen , Ling Chang , Jicang Wu and Ramon F. Hanssen (2019) “Monitoring Deformation along Railway Systems Combining Multi-Temporal InSAR and LiDAR Data”. remote sensing.
  3. Mostafa Arastounia Department of Geomatics Engineering, University of Calgary(2017), “An Enhanced Algorithm for Concurrent Recognition of Rail Tracks and Power Cables from Terrestrial and Airborne LiDAR Point Clouds”.
  4. Soilán, Sánchez-Rodríguez, Pablo del Río-Barral, Carlos Perez-Collazo, Pedro Arias and Belén Riveiro, Department of Materials Engineering, Applied Mechanics and Construction, School of Industrial Engineering, University of Vigo(2019), “Review of Laser Scanning Technologies and Their Applications for Road and Railway Infrastructure Monitoring”
  5. Ana Sánchez-Rodrígue, Mario Soilán, Manuel Cabaleiro and Pedro Arias, Department of Natural Resources and Environmental Engineering, School of Mining Engineering, University of Vigo(2019), “Automated Inspection of Railway Tunnels' Power Line Using LiDAR Point Clouds”.
  6. Mario Bijelic, Tobias Gruber and Werner Ritter “A Benchmark for Lidar Sensors in Fog: Is Detection Breaking Down?”, (2018) IEEE Intelligent Vehicles Symposium (IV) Changshu, Suzhou, China, June 26-30.
  7. Filgueira a, H. González-Jorge, S. Lagüela, L. Díaz-Vilariño, P. Arias, department of Natural Resources and Environmental Engineering, School of Mining Engineering, University of Vigo(2017), “Quantifying the influence of rain in LiDAR performance”.
  8. Attila Börcs, Balázs Nagy, and Csaba Benedek(2017) , “Instant object detection in lidar point clouds”, IEEE GEOSCIENCE AND REMOTE SENSING LETTERS.
  9. Jingmeng Zhou, “A Review of LiDAR sensor Technologies for Perception in Automated Driving”, Academic Journal of Science and Technology, Vol. 3, (2022).
  10. Dr. Anuj Kumar Purwar School of Engineering and Technology New Delhi, India, “LiDAR TECHNOLOGY AND ITS APPLICATIONS”, IJCRT(2018).
  11. Xin Wang, HuaZhi Pan, Kai Guo, Xinli Yang and Sheng Luo, “The evolution of LiDAR and its application in high precision measurement”, Earth and Environmental Science 502 (2020)
  12. Mr. Pramod K, Akshay M C, “LIDAR Technology”, International Journal for Research in Applied Science & Engineering(May 2022).
  13. G. B. He, L. L. Li, “RESEARCH AND APPLICATION OF LiDAR TECHNOLOGY IN CADASTRAL SURVEYING AND MAPPING”, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2020).
  14. Mial E Warren TriLumina Corporation, Albuquerque, New Mexico, USA, “Automotive LIDAR Technology” (2019).
  15. Carolina Collaro University of Jaén, Spain , Martin Herkommer Quantum-Systems GmbH, Germany, “Research, Application, and Innovation of LiDAR Technology in Spatial Archeology”.

Railway gate management technology using LiDAR (Light Detection and Ranging) offers several benefits for enhancing safety and efficiency at level crossings. LiDAR can accurately detect approaching trains and vehicles, providing real-time data on their speed and distance. It can identify obstacles or individuals near the tracks, reducing the risk of accidents. Traffic signals at railway gates can be adjusted dynamically based on real-time data, minimizing delays for vehicles when no trains are approaching. LiDAR sensor emit laser pulses and measure the time it takes for the light to return after reflecting off objects. They create precise 3D maps of the surrounding area. A computer or server that processes the raw data collected by the LiDAR sensors. This system integrates with the railway's existing signalling and control infrastructure. Overall, the deployment of LiDAR technology in railway gate management can significantly enhance safety and operational efficiency while providing valuable data for future improvements.

Keywords : 3D Mapping, Detection and Rangging, Railway Signalling, Safety Enhancement, Operational Efficiency.

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