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.


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    Titel :

    IoT-Based Smart Railway Management for Passenger Safety and Comfort


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Pati, Bibudhendu (Herausgeber:in) / Panigrahi, Chhabi Rani (Herausgeber:in) / Mohapatra, Prasant (Herausgeber:in) / Li, Kuan-Ching (Herausgeber:in) / Tukaram, Dethe (Autor:in) / Uma Maheswari, B. (Autor:in) / Ullas, S. (Autor:in)


    Erscheinungsdatum :

    2022-09-22


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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