Optimizing bicycle infrastructure – Košice 2.0

Inspiration

We are inspired to pursue this vision because we believe that it has the potential to create real change in our communities. By making our cities more walkable and bikeable, we can reduce traffic congestion and air pollution, improve public health by encouraging people to walk or bike instead of driving, and increase social interaction by creating more public spaces where people can gather and connect.

What it does

The goal of this project is to identify the best location for a new cycling path in a city that brings points of interest closer to as many people as possible while staying within a constrained budget, thus saving money to a city.

How we built it

We used Python and Google Colab. We also used Cython with GCC compiler for the most performance-critical part of our project.

Challenges we ran into

We encountered several challenges such as how to process data, evaluate a potential cycle route, and optimize it as well as ensure good performance of our code.

Accomplishments that we're proud of

We are proud of the fact that our project has the potential to make a real difference in people's lives by promoting healthier, more sustainable forms of transportation.