Heading Down the Highway: The Pikalert Mobile Alert Weather Application
In the fourth phase of this research, NCAR and FHWA are partnering with three State Departments of Transportation (Minnesota, Michigan, and Nevada) to pilot a mobile alert warning (MAW) application. This application blends traditional weather information (e.g., radar, surface stations) with mobile vehicle data (e.g., temperature, yaw rate, headlight status) to diagnose current weather conditions. These weather conditions, and other road-travel-relevant information, are provided to users via web and phone applications. The MAW also provides nowcasts and short-term forecasts out to 24 hours. The MAW uses VDT road hazard algorithms, including precipitation type (rain, ice, snow, hail), qualitative precipitation amount (rain - none, light, moderate, heavy; ice - none, slippery; snow - none, light, moderate, heavy), wind conditions (wind - none, light, moderate, extreme), road visibility (fog, dust, haze, blowing snow, sleet, hail), and flash flood danger.
This presentation will outline development and testing of the MAW, as well as future directions for this research.