Automated Railway Crossing System Using Multi-Sensor Integration for Enhanced Safety
Since then, railway-level crossings have become a significant cause of road and rail accidents, claiming dozens of lives each year, not only in Bangladesh but also at every railway crossing in the world. These accidents are increasing alarmingly owing to manual gate operation, staff negligence, and inadequate infrastructure. This situation creates a considerable challenge that must be overcome in a sophisticated way. To neutralize this issue, our project proposes a cutting-edge automated gate control system for railways that opens and closes the rail crossing gates automatically whenever a train is approaching. The system is equipped with advanced features such as obstacle detection, manual control override, and an emergency stop mechanism. It is built to be future-ready with integrations of solar power, IoT, and AI technologies. Moreover, there is also an arrangement to remotely control all the adjacent gates from an intermediate control room. In addition, the suggested system offers a safe and intelligent solution, particularly designed for rural and semi-urban areas in Bangladesh, where conventional railway crossing mechanisms are often outdated or absent. The system intends to significantly reduce the risk of accidents, ensure smoother train operations, and enhance public safety by maximizing automation and innovative technologies in regions that are typically underserved by modern infrastructure. It also holds potential for adoption in other countries facing frequent railway crossing mishaps. Our motto remains clear: "Automation for a Safer Bangladesh."
Authors
- Yeakob Ali (ORCID: https://orcid.org/0009-0004-8503-2120)
- Abhijit Pathak (ORCID: https://orcid.org/0000-0001-7734-0271)
- A. Rahaman (ORCID: https://orcid.org/0009-0001-2779-0669)
- Turjaun Onika (ORCID: https://orcid.org/0009-0001-2746-5508)
Institutions
- United International University (BD)
Publication Details
- Journal
- Internet of Things and Cloud Computing
- Published
- 2025-10-31
- DOI
- https://doi.org/10.11648/j.iotcc.20251304.12
- Primary Topic
- IoT and GPS-based Vehicle Safety Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00