An analysis of traffic accident data for the UK in 2014, using data from the UK Data Service. (Sourced from Kaggle with original data coming from UK Data Service. See wiki for complete citations.)

This repository offers code to reuse methodology and repeat experiments in the study "Learning Collision Risk Proactively from Naturalistic Driving at Scale".

NSS Midcourse Project

🌍 Brazil Road Accidents

🚘 웹 기반 교통사고 예측 사이트

Análisis geoespacial de 5,779 siniestros viales en Teusaquillo (2015-2023) | Power BI + Excel

Analysis of traffic accidents causes per province in Saudi Arabia in 2017-2018. Original data fetched from Saudi Open Data Portal.

Final Exam Project for Database Administration 2 course. This project stores the traffic accident in current year using MongoDB with web interface.

Анализ ДТП в России (2015–2024) с помощью Python, SQL и визуализаций

Looking at the fatality rates of traffic accidents in the US and which factors might impact these rates, leveraging several big data tools: AWS EMR cluster, HDFS, Hive, Spark, Hbase.

Testing Machine Learning models to predict severity of traffic collisions.

Script to convert non-public traffic accident data for Aichi Prefecture, Japan into Parquet format.

Tools for Traffic Accident Data in Japan

This project is a comprehensive machine learning project developed to analyze and predict traffic accidents in the United States. The project works with over 7.7 million accident data collected between 2016-2023 and provides an interactive web application for real-time predictions.

Analysis of traffic congestion and car accidents data in the Kingdom of Saudi Arabia.

In-depth Excel-driven exploration of road accident statistics — analyzing severity levels, environmental factors, and temporal patterns through dynamic dashboards, performance metrics, and interactive visuals. Perfect for Excel analytics learners and professionals aiming to enhance data visualization and road safety analysis skills.