Accident Prevention System
DOI : 10.46335/IJIES.2024.9.4.8
Authors : Mrs. M. A. Shaikh, Shrushti Patil, Shraddha Deore, Samruddhi Kshatriya, Ashwini Dhikale
Abstract Car accidents truly can be considered as one of the most disastrous phenomena. Through the reasons can be different for those accidents like the main reason can be driver’s unawareness as well as speed. With the help of IOT we can try to prevent as well as reduce the number of accidents. IOT (Things of Internet), is one of the most growing technology in IT industries, which is used to decrease burden of human beings. In this, the system will monitor and help to reduce those accidents. This paper discusses the process of developing accident prevention system. With the growing population the use of cars as becomes superfluous and this has led to increase in number of accidents at the alarm rate. In this project, we first applied Éclat algorithm to group the crime locations into 0 level, 1 level, 2 level accident location. Éclat algorithm takes accident level count as a factor to cluster the locations. Then we will use association rule mining to identify these locations. The rules show different factors associated with road Accident at different locations. For all this we will provide Accident data that are issue from Transport Ministry Officer. Safety driving suggestions will be marked based on Accident data.
