Bangladesh Road Accident Dataset

Citation Author(s):: Khan Md. Hasib (Ahsanullah University of Science and Technology)

Md. Imran Hasan Showrov (Memorial University of Newfoundland)
Submitted by:: Khan Md. Hasib
Last updated:: Tue, 10/25/2022 - 18:20
DOI:: 10.21227/efjr-n994
Data Format:: Excel Data
Research Article Link:: Accidental Prone Area Detection in Bangladesh using Machine Learning Model

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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 dataset, we provides a detailed account of the road accidents that covers the year of 2016 to 2019. It is created and preprocessed by us with many resources of national and international newspapers that cover the road accidents issue in Bangladesh. The innovated dataset covers 8 division states of Bangladesh with 8 attributes like number of deaths, number of injured, vehicle type, time, city and division, etc. Our focus is to analyze the structural dataset using data mining techniques. These analyses help us determine the accident-prone area of Bangladesh and to provide all the factors that are related to road accidents.