Publication Type : Book Chapter
Publisher : Springer Nature Singapore
Source : Lecture Notes in Networks and Systems
Url : https://doi.org/10.1007/978-981-19-2225-1_17
Campus : Bengaluru
School : School of Computing
Year : 2023
Abstract : In developing countries such as India, the transportation industry plays a critical role in the economy. Transportation is a vital means of transporting products and people from one location to another. Increased trade and business are facilitated by improved transportation, primarily railways. However, the railway is currently beset by several accident issues. The manual management of such a system is impossible every day. If it is done manually, it will take more time and money. A prototype for automatically examining and identifying cracks, obstacles, and fire in railway tracks is proposed in this paper keeping in mind the passenger safety and comfort. To save electricity, the planned system will turn lights and fans on and off automatically based on the number of people in the coach. The proposed model consists of an IR sensor, ultrasonic sensor, flame sensor, touch sensor, and an emergency switch. If a flame or obstruction is detected, the train will be delayed and eventually stop. The status of all sensors is updated on the Web site to assist railway administrators.
Cite this Research Publication : Tukaram, D., Uma Maheswari, B., Ullas, S. (2023). "IoT-Based Smart Railway Management for Passenger Safety and Comfort". In: Pati, B., Panigrahi, C.R., Mohapatra, P., Li, KC. (eds) Proceedings of the 6th International Conference on Advance Computing and Intelligent Engineering. Lecture Notes in Networks and Systems, vol 428 2023, Springer, Singapore. https://link.springer.com/chapter/10.1007/978-981-19-2225-1_17