Travel Time Forecasting

Photo credit: CBS

RAL engineers and scientists recently developed a software system to provide real-time travel time prediction for the I-70 corridor in Colorado.  The goal of the system is to assist the Colorado Department of Transportation (CDOT) with managing traffic patterns and maintenance/operations of I-70.

The system utilizes machine learning (ML) to identify patterns in historical travel time and weather data that enable prediction of real-time travel time at 15 minute intervals, out to 1 hour, and then at hour intervals out to 24 hours. Current travel time and weather conditions are taken into account by the ML models to provide better predictions.