Road Accidents are fatal and cause a lot of injury to the person who faces an accident. This misfortune or their protection is a major problem of the globe and each one has been dealing with it. High-density traffic and rough steer handling happen all over the world. For this reason, most people get caused. People engaged in accidents mostly don’t do any mistakes rather they suffer due to someone else mistakes. There are many reasons behind road accidents like a diversion in between, damaged roads, over speeding, sharp turns, drunken driving, etc. Damage that happens by traffic is getting more, but it is unnoticeable, this affects your health later. The idea is to summarize traffic accidents that happen in most cities using machine learning and k-means. Using this logic it is easy to analyze the road accident across areas or cities AS, the techniques suggested in previous papers using back propagation method of machine learning. It has the accuracy rate of 89% which is 4% lower than the proposed model. It has the accuracy rate of 93%.


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    Title :

    Accident Analysis System using Machine Learning


    Contributors:


    Publication date :

    2023-12-15


    Size :

    448591 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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