As a student, driving to campus down Huron Church can feel like a heavy gamble; getting delayed and having nowhere to park on campus is a fate we all know to well. Our group combatted this issue by creating a visualization tool that highlights traffic congestion on Huron Church road, at 3 intersections approaching the border. And of course, the service is helpful to those looking to head to Detroit, and to those coming from Detroit into Windsor.
What it does
Our hack allows the user to enter a direction of travel (towards or from the bridge) and a date. They are then presented with a view of the traffic congestion on that side of Huron Church road and a pie chart that shows the distribution of vehicle types.
How we built it
In the early stages, we planned out and narrowed down our solution as a team. We split our team in 2, and had 2 of us manage building the flask app while the other 2 handled working with the traffic API data. We developed the app with flask, used git + github for version control, and deployed to heroku.
Challenges we ran into
We had a hard time narrowing down our solution in the early stages of planning. Because of this, it took several hours to really get the ball rolling
Accomplishments that we're proud of
We are all very inexperienced with flask, so we are proud to have successfully created and deployed a flask app. Also, the codebase stayed very clean throughout the project, which feels pretty good.
What we learned
We learned the importance of planning earlier on, especially before the hackathon begins. We were going in just looking to have fun and learn some new things, but it took long to get started since we were a bit disoriented at first.
What's next for Border Traffic Visualizer
We were hoping to implement a traffic prediction feature rather than just visualization past traffic information on the map. However, we ran out of time and weren't able to implement it.