Accidental Prone Area Detection in Bangladesh using Machine Learning Model
Khan Md. Hasib, Md. Imran Hossain Showrov, Anik Das
Abstract
Nowadays road accident in Bangladesh is a buzzword due to its lack of carefulness of the driver of the vehicle where some parameter exists. The traffic safety of the roadway is an essential concern not only for transportation governing agencies but also for citizens of our country. For safe driving suggestions, the important thing is to find the variables that are tensed to relate to the fatal accidents that are occurring often. In this paper, we create a model using a machine learning approach on the countrywide traffic accident dataset of Bangladesh as an aim to address this problem. The model also helps out to find the diversity of the data by grouping similar objects together to find the accident-prone areas in the country concerning different accident factors as well as detects the cooperation between these factors and causalities.