🛣️ About the Project

We have had many painful experiences going through traffic jams on Swiss roads. In this hackathon, we wanted to think of a sustainable solution that could relieve the suffering of the driver and the passenger(s) or a way to reduce the congestion. Introducing: EcoTrack 🛣️

❓ What it does

• Our app helps to motivate drivers to change their behavior by awarding them with scratch cards, coupons, and other benefits to pick a more sustainable route or slow down to reduce congestion. It has multiple features:

  • Traffic flow detector: Users can insert their starting point and destination, then our system will predict if there'll be a traffic jam ahead

  • Departure time recommender: Select the planned departure time, then we can suggest ones with less congestion and a route that is environmentally friendly :)

  • Prize inventory: Collect coupons, vouchers, and discounts by using the app and driving safely

    
    

💻 Methods & How We Built It

We developed a neural network model with PyTorch and Scikit-Learn to predict traffic flow based on the traffic data from BIT

• Tested different approaches (multi-layer perception models) and experimented with various error/loss functions to optimize our model

• Deployed an online user interface (UI) using modern web and mobile development technologies such as Typescript, React, and Vercel : https://hack-zurich.vercel.app/

• Filtered and interpolated the given datasets to achieve the best possible accuracy and minimize the error

• Created an algorithm to calculate the best departure time

For more info on the models and the backend, go to this Github repo. If you're more interested in the web/mobile app or "the pretty stuff", go to this repository instead :D

🙌 Results & Final Presentation

Check out more details here.

🏆 Awards

HackZurich 2023 - Finalist

✨ Team

• Viet Duc Kieu (Vietnam)

• Yohan Thibault (France)

• Sara Rutz (Switzerland)

• Suchit Gupta (India)

• Nathanya Queby (Indonesia)