A TILE-BASED RENDERING TRAFFIC ACCIDENT DATA ANALYSIS USING OPEN DATASETS AND VISUALIZATION TOOLS

Abstract

The present paper examines traffic accidents as based on free publicly available datasets. All the primary goal is to know when and where accidents occur most and what underlying factors are responsible. The data was sourced out of open sources and I formatted it by cleaning up the missing or repetitive values. Then, I created charts and maps with the help of simple tools which could demonstrate the results better. The research concentrates on the usual trends like peak times, hazardous places and simple weather influence. Another library that I used was pandas to work with the dataset and matplotlib or folium to create visual graphs. The results indicate that there are times and places where accidents occur more than others and this could be used to enhance road safety. The project can benefit students and the local planners since the patterns of accidents are described in a simple and comprehensible manner, excluding any complicated techniques and complex models.