traffic-incident-resilient

divyasridoredla/traffic-incident-resilient

traffic-incident-resilient is a reinforcement learning model from divyasridoredla. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for stable-baselines3. The card lists the license as mit.

Standard RL traffic agents collapse under real-world disruptions. This project builds a custom Gymnasium environment that injects disruptions mid-episode, training a robust PPO agent.

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At a glance

Task: Reinforcement Learning
Library: stable-baselines3
License: mit
Access: Public
Created: Apr 5, 2026
Updated: Apr 6, 2026
SHA: 40842149

Model card

From the Hugging Face model README

Incident-Resilient Traffic Signal Control

Problem

Standard RL traffic agents collapse under real-world disruptions. This project builds a custom Gymnasium environment that injects disruptions mid-episode, training a robust PPO agent.

Disruption Types

Lane closure — obs[0] += 0.5
Demand shock — all obs += 0.3
Sensor dropout — obs[2:] = 0

Results

Agent	Normal	Under Disruption
Baseline PPO	-17.85	-73.22
Robust PPO	-22.71	-60.28

17.8% improvement under disruption conditions.

Demo Chart

Module Mapping (Hackathon)

Module 1: Custom env required — no standard env models mid-episode disruptions
Module 2: Baseline PPO trained on TrafficEnv (no wrapper) as benchmark
Module 3: Registered as IncidentTrafficEnv-v0 via gym.register()
Module 4: TrafficEnv(gymnasium.Env) + DisruptionWrapper(gymnasium.Wrapper)

How to run

pip install gymnasium stable-baselines3 fastapi uvicorn
python -m uvicorn main:app --port 8000
python inference.py

Task: Reinforcement Learning
Library: stable-baselines3
License: mit
Created: Apr 5, 2026
Updated: Apr 6, 2026