Weather-Integrated Traffic Routing with Dynamic Speed Prediction
International Conference on Recent Advances in AI (ICRAAI 2025)
The Problem
Today's navigation apps are excellent at finding the shortest or least congested route. However, they often overlook a critical factor: the weather. A road that is safe at 60 mph on a sunny day can become hazardous during a sudden downpour or in dense fog. This gap between static road data and dynamic real-world conditions can lead to inefficient routes and, more importantly, compromised safety.
Our Solution
Our research introduces a novel framework to address this challenge by creating a navigation system that sees and adapts to the weather. We developed a sophisticated AI model that integrates three key data streams: - Real-Time Traffic Data: Current congestion and flow. - Hyperlocal Weather Data: Conditions like rain, fog, and humidity. - Static Road Attributes: Road type, speed limits, and construction work.
Key Innovations & Features
🏙️ Smart City Framework: We designed a robust AI framework that serves as a blueprint for optimizing urban traffic flow and enhancing public safety.
🌦️ Dynamic Weather Integration: Our model is one of the first to systematically incorporate real-time weather data, making routing decisions that prioritize driver safety in adverse conditions.
⚡ Advanced Speed Prediction: Instead of relying on static speed limits, our algorithms provide dynamic speed forecasts that adapt instantly to changing traffic and environmental factors.
🎯 Foundation for Real-Time Systems: This research establishes the core prediction engine needed for a fully adaptive traffic management system capable of real-time processing and rerouting.
Impact
This work paves the way for the next generation of traffic management. The applications are vast: from making daily commutes safer and more efficient to optimizing logistics for delivery fleets. Most critically, it can drastically reduce response times for emergency vehicles, where navigating safely at the highest possible speed is a matter of life and death. By building weather-aware intelligence into our navigation systems, we are taking a significant step toward creating truly smart and resilient cities.