Generative Multi-Agent Intelligent Traffic Simulation

This video demonstrates G-MITSIM (Generative Multi-Agent Intelligent Traffic Simulation), a next-generation simulation platform that bridges the gap between traditional physics-based traffic engineering and Generative AI.

Unlike standard simulators that operate as static "black boxes," G-MITSIM is dynamic and conversational. It features a "God Mode" that allows for natural language control over the network topology and an autonomous AI Driver powered by Large Language Models.

** Key Features Demonstrated**:

Generative AI Core: Two distinct layers including Traffic Management (God Mode) and the Autonomous AI Driver (The Pink Vehicle controlled by ‪@OpenAI‬ GPT).

NLP Control: Modifying road networks, adding lanes, and creating accidents using simple chat commands via OpenAI integration.

Hybrid Physics Engine: Combines rigorous IDM (Car-Following) and MOBIL (Lane Changing) models with cognitive LLM reasoning.

Advanced Analytics: Real-time heatmaps, fundamental diagrams, emission calculations, and "Explainable AI" decision logs.


Tech Stack:

Python
Matplotlib (Visualization)
OpenAI API (LLM Agents)
NetworkX & Shapely (Topology & Geometry)

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