Source Code for Random Forest Accident Severity Prediction Modelling
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Updated
Apr 29, 2023 - Python
Source Code for Random Forest Accident Severity Prediction Modelling
A comprehensive software system leveraging convolutionary neural networks, drones, and IoT for real-time road quality monitoring and alerts. Built using Python, TensorFlow, Django, and Vue.js.
Road collision data for the United States
Road collision data for France
Road collision data for the UK
A dataset for traffic accident analysis in the US
Road collisions of Ireland
Road collision data for Australia and New Zealand
Road collision data for Canada
Codebase for the paper 'SS SFDA: Self-Supervised Source Free Domain Adaptation for Road Segmentation in Hazardous Environments'
A project which helps prevent accidents caused by the driver getting drowsy. The project is built on python using OpenCV library.
A project which helps prevent accidents caused by the driver getting drowsy. The project is built on python using OpenCV library.
A project to detect accident and send notification to hospitals whenever a accident happens.
The "Driver Coach" system is based on a camera, sensors and machine learning algorithms. It monitors car driver behaviour and provides feedback to improve road safety. The system can be part of a larger Road Safety ECO system sharing data between driver and organisations (Smart City).
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