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Short-Term Traffic Prediction for Proactive Transportation Management
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.
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