Bangladesh Road Accident Dataset

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. 

当前，道路交通事故已成为孟加拉国的热议话题，此类事故多因车辆驾驶员疏忽大意所致，且存在多项关联影响参数。道路交通安全不仅是交通管理机构的核心关切，亦是本国全体公民的重要议题。若要提出科学的安全驾驶建议，首要任务是找出与频发致命交通事故存在关联的各类变量。本数据集详细记录了2016年至2019年间的道路交通事故情况，由我们依托覆盖孟加拉国道路交通事故议题的国内及国际报刊资源构建并完成预处理。本次构建的数据集涵盖孟加拉国8个行政专区，包含死亡人数、受伤人数、车辆类型、事故发生时间、城市及所属专区等8项属性字段。本研究旨在通过数据挖掘技术对该结构化数据集展开分析，此类分析可帮助我们明确孟加拉国的交通事故高发区域，并梳理出与道路交通事故相关的全部影响因素。

搜集汇总

背景与挑战

背景概述

该数据集详细记录了2016至2019年间孟加拉国8个地区的道路交通事故情况，包含死亡人数、受伤人数、车辆类型等8个关键属性，旨在通过数据挖掘技术识别事故多发区域及相关影响因素。