Inspiration
We wanted to explore Machine Learning and Data Analytics by creating an application that helps lawmakers and traffic authorities in Boston be able to put more traffic lights or enforce more trains/buses in areas that have the most traffic
What it does
Using the dataset from the Boston.gov website, we analyzed the busiest locations in Boston where people got picked up and dropped off which then creates a map to pinpoint locations where traffic lights should be placed
How we built it
Matlab, and watching lots of videos and tutorials
Challenges we ran into
Figuring out the logic to create the script for the large dataset
Accomplishments that we're proud of
Using and implementing MatLab to create a map and pinpoint traffic in a region
What we learned
How to use geoshow and converting the data into a heat map
What's next for Traffic Troller
Use machine learning to predict the probability of an accident happening at specific locations in Boston in the future
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