Sleep deprivation among truck drivers is a pervasive issue due to the demanding nature of their job, involving long hauls covering extensive distances both during the day and night. The resulting weariness and drowsiness significantly contribute to major accidents on roadways. A study conducted by the Central Road Research Institute (CRRI) revealed that fatigued drivers who fell asleep at the wheel caused 40% of traffic accidents on the 300 Km Agra-Lucknow Motorway in 2022, with Uttar Pradesh recording a high number of fatalities. These alarming statistics raise concerns about the apparent disregard for the importance of sufficient rest among Indian highway drivers, leading to life-threatening situations. In a nation where traffic accidents claim a life every three minutes, it has become paramount to find a viable solution. To address this pressing issue, we propose a novel driver sleepiness detecting system. This system is designed to recognize and alert drivers when they are drowsy or on the verge of falling asleep, thereby preventing potential accidents. By providing timely warnings and promoting increased awareness of their sleep status, this technology aims to mitigate the risks associated with fatigue-induced accidents, ultimately safeguarding lives and promoting road safety.


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    Titel :

    Mitigating Truck Driver Fatigue: A Driver Sleepiness Detecting System


    Beteiligte:


    Erscheinungsdatum :

    29.09.2023


    Format / Umfang :

    681323 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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