Abstract
The imperative need to enforce safety measures to prevent deadly accidents exists in the world of urban traffic environments today. During 2021, two-wheelers have been reckoned for the maximum number of fatal roads accidents accounting for 69,240 fatalities, or 44.5 of total road accidental deaths, followed by cars (23,531 deaths, 15.1) and trucks/lorries (14,622 deaths, 9.4%). Accidents may happen regularly as a result of drivers' carelessness and imperfect indicators of faulty warning signs on the road. Road safety policy's primary focus for several decades included techniques like signs, speed limits, and straightening bends. The system provides the Global Positioning System (GPS), Geographic Information System (GIS), and Global System for Mobile Communications (GSM) to cater to the requirements of some intelligent vehicle monitoring systems. The research presented in this study sheds light on the vehicle's decision-making process by using a novel approach.
Cite
CITATION STYLE
Ishan Kharat, Atharva Kulkarni, Dhaval Mahajan, Kartik Avhad, & Sumit Jadhav. (2022). Active Safety System in Vehicles using Sensor Network Model. International Journal of Scientific Research in Science and Technology, 676–684. https://doi.org/10.32628/ijsrst229689
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