TrafficOS: Gemini-Powered Mobility Intelligence

TrafficOS is an AI-powered urban traffic intelligence platform designed to transform raw mobility data into operational decisions for cities, logistics teams, and delivery fleets. Instead of simply displaying traffic on a map, TrafficOS analyzes live road conditions, estimates congestion levels, forecasts future traffic density, and explains route decisions through an AI intelligence layer. The system combines Mapbox visualization, TomTom live traffic data, SARIMAX-style forecasting, and a Gemini-powered assistant called ARIA. TrafficOS monitors road segments, estimates speed, density, flow, congestion tier, and route risk, then converts those technical signals into clear operational reports. ARIA allows non-technical users to understand what is happening in the network, why a route is recommended, and what conditions may affect delivery time, fuel efficiency, or congestion exposure. A key part of TrafficOS is its use of exogenous variables in forecasting. The model is designed to account not only for traffic history, but also for weather, precipitation, time of day, day of week, holidays, festivities, incidents, road events, and logistics pressure. This makes the system more realistic for real-world urban mobility, where congestion is rarely caused by one factor alone. The demo supports Fusagasugá, Colombia and San Francisco, USA to show how the same architecture can adapt to both emerging-city mobility challenges and dense metropolitan logistics scenarios. TrafficOS is especially relevant for delivery companies, fleet operators, and urban planners who need to optimize fuel, time, reliability, and dispatch decisions. The platform includes a live traffic dashboard, dynamic routing interface, segment analytics, Gemini/ARIA city pulse intelligence, and PDF report generation. The goal is to move beyond consumer navigation and build a command-center style system for operational traffic intelligence.