Este proyecto explora datos de accidentes de tránsito en República Dominicana, con un enfoque en temporalidad mes y año y distribución por sexo. El objetivo es identificar patrones críticos y anomalías que puedan orientar políticas públicas y campañas de prevención.

safety-data - react client

Kartendarstellung von Unfällen mit Personenschaden auf Datengrundlage der Statistischen Ämter des Bundes und der Länder

🚨 Visualizing accidents in France from 2005 to 2020.

Explore aviation accidents and insights. https://airaccidentdata.com

Análisis interactivo de datos reales de accidentes de tráfico en Madrid usando Python y Streamlit. Incluye visualizaciones, simulaciones, pruebas estadísticas y un mapa 3D georreferenciado. Proyecto individual de Valentina Bailon Cano · Máster en Data Science & IA · Evolve.

Very Small Description: Python scripts to scrape, clean, and merge airline crash data from Wikipedia and other web sources for practice and potential Kaggle publication.

Vehical Diagnostic - Low Cost Hardware and Open Source Algorithm using Mobile Phone Sensor Data, ODB2 Vehicle Data, Camera Information

server +client - site on road accidents data filter

Machine Learning study on the City of Austin, Texas, car crash data set

Map of accidents and traffic data in the Slovak republic between 2012 and 2022

As per the report, a total of 4,61,312 road accidents have been reported by States and Union Territories (UTs) during the calendar year 2022, which claimed 1,68,491 lives and caused injuries to 4,43,366 persons.

[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.

App to analyze and visualize air accident investigation data in the world

Visualisation of bike accidents in Brno in 2012-2023

Data science project about airplane accidents statistics from the NTSB

Arizona Road Safety Analysis: This project utilizes data-driven insights to understand and mitigate fatal accidents in Arizona, employing statistical models to identify risk factors and improve road safety measures.

Project for Visual Analytics course (2022/23) at Sapienza University of Rome.

Mental health after a free time sport accident

A near real-time data pipeline and analysis platform for exploring the spatiotemporal dynamics of fatal and serious injury vehicle accidents in Minnesota. Independent MGIS project at the University of Minnesota supervised by Dr. Bryan Runck.