Almost 6 million car accidents happen every year, injuring 3 million individuals annually. According to the National Highway Traffic Safety Administration, annual financial cost in the US is close to 900 billion dollars. Primary reason for accidents is distraction. The project is committed to reduce accidents by raising awareness by giving a warning beforehand to the driver.
Using multiple Machine Learning models to process NYC traffic and accident data, our team provides an accident prediction service that provides a list of potential accident locations along a given route from starting point to destination. The MVP application could help the drivers of NYC to pay more attention when driving close to the potential accident points. Our API could also help the logistics companies to get the most frequent traffic accident points in NYC so they could optimize the routes of their fleets to avoid potential traffic accidents and reduce the associated costs.