🗺️ Analyzing and predicting potential pedestrian and vehicle accident hotspots on roadways in towns, cities, and highways in-between.
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Updated
Aug 30, 2024
🗺️ Analyzing and predicting potential pedestrian and vehicle accident hotspots on roadways in towns, cities, and highways in-between.
Analysis about Accident Aviation from 1962 up to 2023
Data mining MMDA tweets into a usable database for traffic accident research
App that can be used in classifying the cause of an accident. I analyzed Chicago car accident reports data in order to build a model to classify the primary cause of an accident.
The model is to detect the accident at the site and will identify the objects in terms of vehicle class whether the object is car, bus, van etc. and also detect the accident that is whether the accident happened or not. Proper labeling will be there which make sure to give whole information from the site we examine.This model will also run on vi…
Openlayers map of nuclear central and nuclear accidents
This code will help the users to get an idea of the accidents well before the accident took place
Real-Time Crash Identification using Connected Electric Vehicle Operation Data
A Dangerous Scene Detection included fire, accident and robbery etc. by using keras in Tensorflow2.
Exploratory Data Analysis on "US Accidents" dataset to find out and visualize different trends including impact of COVID-19 on traffic behavior and accidents, environmental stimuli on accident occurrence and accident hotspot locations in order to get control over the same.
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