🚗 The 1st Place Submission to AICity Challenge 2020 re-id track (Baidu-UTS submission)
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Updated
Sep 1, 2024 - Python
🚗 The 1st Place Submission to AICity Challenge 2020 re-id track (Baidu-UTS submission)
VehicleX: Simulating Content Consistent Vehicle Datasets with Attribute Descent (ECCV 2020, TPAMI 2023)
Multi & Single Agent Reinforcement Learning for Traffic Signal Control Problem
🚦 Traffic Management System 🚏 With Deep Reinforcement Learning 🚗
OptiTraffic AI Microservices is a Docker-based system that uses Kafka streams and a trained LSTM model to predict optimal traffic light phases. The stack includes multiple microservices (login, traffic signal prediction, monitoring, notifications, simulator), a React frontend, and an API gateway.
Decentralized multi-agent RL traffic signal control using Dueling DQN + GAT (CTDE) on a 16-intersection network, reducing avg wait time by 76% and improving travel time by 17%; Dockerized and deployed on AWS.
Training code and data pipeline for RLPrice
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