This repository allows for fast computation of two-dimensional Time-To-Collision (TTC), DRAC, and MTTC.
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Updated
Jun 10, 2025 - Python
This repository allows for fast computation of two-dimensional Time-To-Collision (TTC), DRAC, and MTTC.
Implementation of the Gale-Shapley (also known as deferred acceptance) and Top Trading Cycle (TTC) algorithms for 2-sided matching
bot designed for Discord, It leverages the discord.py library and Tbilisi Transport Company private API to show you the statistics of the journey of different transports in the cities. This also shows you bus stop information and when the buses arrive.
Production-grade real-time transit analytics platform for Toronto TTC. Ingests GTFS Realtime feeds (vehicle positions & trip updates) every 30s, implements medallion architecture with MinIO data lake and Postgres warehouse. Airflow orchestration, Docker deployment. Built for analyzing delays, vehicle utilization, and service patterns.
🚇 Real-time TTC transit status, arrivals, and vehicle tracking for OpenClaw - Stay ahead of delays in Toronto!
analysis of retrospective transit route choice alternatives
Scalable data analytics and interactive visualization framework for analyzing Toronto TTC ridership patterns, service delays, and congestion dynamics using large-scale open datasets.
PPO with TTC-based reward shaping on merge-v0. PPO with time-to-collision reward shaping on highway-env merge-v0. Multi-seed evaluation shows 58% relative reduction in crash rate (p=0.024) vs sparse collision baseline. CMP4501 course project.
Data pipeline that queries the TTC's real time feed and stores it in a tabular format
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