Short-Term Traffic Prediction for Proactive Transportation Management

This webinar will discuss upcoming research findings and publications on STP, plus lessons learned from early adopters. 

The search for traffic congestion solutions continues to evolve with advances in technology and a better understanding of traveler behavior. Consequently, transportation agencies are evolving towards a proactive management approach that is capable of delaying or eliminating traffic flow breakdowns. 

A key aspect of proactive management is short-term prediction of traffic conditions. Short-term prediction (STP) is a real-time prediction capability that uses both historical and current data to forecast future traffic conditions for a pre-defined prediction time horizon in the near-term (e.g., the next 10, 20, 40, 60 minutes). 

The ability to conduct STP is essential for moving up the Active Transportation and Demand Management (ATDM) continuum to a state of truly proactive management. STP also enhances integrated management as agencies have enough time to share information and take coordinated, proactive actions. Register below to learn about this solution from both FHWA and public agencies who are implementing it.

Register below to join us on March 13, 2025 at 1pm