Traffic Congestion Prediction
A capstone project to predict traffic congestion during my study in PolyU; developed in 2023.
What I have done
- Investigated a more privacy-preserving and accurate method for traffic congestion prediction
- Provided a feasible solution for enhancing the accuracy of STGNN model
- Developed a client-server architecture (web service and prediction algorithm) for the system
- Suggested several possible enhancements for the system
Features
- Predict the traffic congestion condition for a given time using a machine learning model
Highlighted Technologies
- Laravel (Frontend)
- Flask (Backend)