AI Agents Negotiating the Road: Building PathPact

Route selection is a complex problem. For autonomous vehicles, it's not just about the fastest path; it's about balancing speed, safety, and efficiency. But what happens when multiple vehicles with different personalities compete for the same road? In this blog post, I'll walk you through how I built PathPact , a multi-agent simulation that uses Google Gemini AI to resolve route conflicts between autonomous agents. The Vision: Multi-Agent Negotiation Most routing apps give you the "best" route. But "best" is subjective. A Speedster wants the fastest time, regardless of tolls. A Scenic Cruiser wants to avoid highways and see the sights. An Efficiency Expert wants the shortest distance to save fuel. When these agents are assigned to the same road network, conflicts arise. My goal was to create a simulation where these agents could "talk" to each other and negotiate their assignments based on their unique personalities. The Architecture: React, Leaflet, and Gemini The app is built with a