[IEEE Research paper + Project] Real Time Road Accidents Detection System based on crash estimation; a computer vision techniques that detects road accidents and reports them in real-time as well as allowing the monitoring of accidents using a client server architecture and an interactive GUI.

Multi-dimensional Analytics Project on Road Accidents of India.

Data Analysis of Road Traffic Accidents

This is the Arduino code for a helmet that detects accidents as well as reports them to relevant authorities.

The project aims at using quasi-experimental designs to estimate the impact of policy reducing speed limits in major cities, on the number of road accidents. It is based on Bayesian hierarchical modelling and Poisson regression

Script for wrangling, geocoding, analyzing, and mapping Australian road accident data

🌍 Brazil Road Accidents

Interactive dashboard for exploring and analyzing road accident data in Poland. Built with Streamlit, PostgreSQL, and Python for dynamic SQL queries, visualizations, and insights.

This contains the road accident data dashboard and the following documentation

Software for registering anomaly situations on roads

Road collision data for Canada

A graphical analysis report of traffic fatalities in Australia.

A brief analysis of the UK road accidents data to proof the relationship between accidents and internal and external factors.

Road Accidents are a leading cause of injuries and fatalities worldwide, making them a critical area of research. By analyzing and predicting traffic accidents, we can identify key contributing factors.

Observable study of the road accidents in France in 2017

Road collisions of Ireland

Road collision data for Australia and New Zealand

This is a traffic severity prediction model built using XGBoost, deployed on flask.

Visualizing road accidents in India using chart.js and data from data.gov.in

Data Analytics to find optimal locations for ambulance