GridLock 2.0 Forecasting Pipeline
Python
Score
Pipeline
GridLock 2.0 is a traffic intelligence hackathon organized by Flipkart in partnership with Bengaluru Traffic Police and hosted on HackerEarth. Phase 1 is an online machine learning challenge with a live leaderboard, where participants submit models against the provided task and improve them over multiple submissions. The official competition page is GridLock 2.0 on HackerEarth.
This repository packages the Phase 1 forecasting pipeline used for the Day 49 demand prediction task, together with a script, companion notebooks, model artifact, and local evaluation files.
Quick start
pip install -r requirements.txt
python gridlock_release_pipeline.py
The final predictor is not a neural network. It combines:
- a hierarchical basis-day routing matrix,
- a ridge regression calibrator,
- and a bounded geohash residual correction.
Repository layout
GridLock 2.0/
├── README.md
├── requirements.txt
├── gridlock_release_pipeline.py
├── notebooks/
│ ├── gridlock_release_pipeline.ipynb
│ └── gridlock_eda_companion.ipynb
├── data/
│ ├── competition_train.csv
│ ├── competition_test.csv
│ ├── evaluation_ground_truth.csv
...