About BUS TRANSIT AI
AI-powered route optimization system for Coimbatore TNSTC city buses, built in 2024.
Project Overview
BUS TRANSIT AI is an intelligent route optimization system designed for Coimbatore's TNSTC (Tamil Nadu State Transport Corporation) city bus network. The system leverages ensemble machine learning models and graph algorithms to provide optimal route predictions and live ETA estimates.
The application processes real transit datasets representing 53+ bus stops and 30+ TNSTC routes to deliver sub-2-second route optimization across the complete Coimbatore city bus network.
System Architecture
Coimbatore bus stops & TNSTC routes with GPS coordinates, synthetic traffic data (5000+ samples)
Ensemble VotingRegressor: Random Forest (100 trees) + Gradient Boosting (150 trees) trained on 9 features
NetworkX weighted directed graph with dynamic edge weights from ML predictions. Dijkstra & A* pathfinding.
Flask backend serving interactive Leaflet.js maps, Chart.js analytics, and real-time ETA dashboards.