Organize some grid-based traffic flow datasets, mainly New York City bicycle and taxi data
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Updated
Jun 30, 2021
Organize some grid-based traffic flow datasets, mainly New York City bicycle and taxi data
Exploratory Data Analysis on traffic dataset to find out different trends in order to reduce traffic violations.
Real-world Bangladesh traffic dataset with rickshaw scenes for Physical AI, Robotics, ADAS, Computer Vision, and autonomous driving.
An automated Python pipeline that continuously scrapes and integrates real-time traffic incidents (TomTom API) and localized weather data (OpenWeatherMap API) for urban routes. Built to generate pre-labeled datasets for machine learning and mobility analysis.
To see if drivers were being profiled. I built a Support Vector Machine (SVM) classifier and a randomForest classifier to predict a driver's race given the traffic's stop's details. Successful classification will indicate the existence of bais in the traffic stops' data.
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