As nations become economically stronger and financially capable, more people own their vehicles. Although the road infrastructure has improved, it must cope with the increasing population. With that, more and more road accidents are increasing. Drivers often can’t recognise the appearance of unmarked speed breakers and lose control of the vehicle, causing serious accidents and loss of lives. In many instances, fatalities occur because immediate medical assistance is not readily available due to the absence of a reliable system. With the advancement of technologies like IoT, a pressing need arises to create a system capable of promptly informing relevant authorities with comprehensive data on the incidence of a road accident. The proposed IoT-based speed breaker detection system consists of strategically deployed sensors along roadways equipped with IoT capabilities to detect the presence of vehicles and analyse the vehicle's behaviour to identify potential speed breaker crossings. Upon detection, the system sends real-time alerts to drivers, either through in-vehicle displays, mobile applications, or roadside signage, enabling them to adjust their speed and driving behaviour accordingly. Key components of the system include sensor nodes equipped with accelerometers or distance sensors to detect changes in road surface elevation indicative of speed breakers. These sensor nodes communicate wirelessly with a centralised control system, which processes the collected data and triggers alerts when speed breakers are detected. Along with this, we have incorporated machine learning methods and image processing to accurately identify a road accident. The sensors like accelerometer, Distance sensors, camera, etc., provide data to a microprocessor which matches the sensor data with the machine learning model and determines if there is an accident or not, and if it is, the device sends the related metrics to the server through the internet. Once the data reaches a server, it determines the nearest hospitals, and police stations by looking at the GPS data and sends a notification to them and the registered phone number by the user. The system also incorporates real-time tracking of driver, vehicle, and timing information for speed breaker rule violations, which becomes a life-saving technology.


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    Titel :

    Speed Breaker and Vehicle Accident Detection with Alert Sensors


    Weitere Titelangaben:

    Springer Tracts on Transportation, Traffic


    Beteiligte:
    Mallik, Saurav (Herausgeber:in) / Qin, Hong (Herausgeber:in) / Nandi, Subrata (Herausgeber:in) / Alam, Munshi Yusuf (Herausgeber:in) / Roy, Arup (Herausgeber:in) / Sardar, Tanvir Habib (Herausgeber:in) / Venkatachalam, Nirmala (Autor:in) / Manoharan, Akila Priya Varshini (Autor:in) / Ravichandran, Kashvi (Autor:in) / Aravinth, Pushpa Varshini (Autor:in)


    Erscheinungsdatum :

    09.05.2025


    Format / Umfang :

    20 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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