Light Speed

Sylvester Route optimized

Inspiration

We wanted to create an infrastructure-based code that could integrate with the existing college apps to help make their functions more streamlined and/or user-friendly

What it does

This algorithm takes the necessary data from the campus bus-mapping app to then plot and map the optimized route patterns for the on-campus public transportation to take.

How we built it

We used an API, to get the necessary nodes for the scatterplot graph. We wrote a distance optimizer algorithm to find the distance between concurrent points and choose the ones with the shortest distance that adheres to a loop-like path.

Challenges we ran into

Finding and training a distance optimization algorithm. Routing the paths in a logical and connected loop path. Scaling the different routes and merging them into one graph.

Accomplishments that we're proud of

Being able to optimize a total of 49 stops and 6 routes in the span of 24 hours. Merging all 6 routes into 1 graph with proper scaling. Incorporating a fantasy theme into the presentation of our algorithm/product.