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Predicting Directional Design Hourly Volume from Statutory Holiday Traffic
Forecasting Shared-Use Vehicle Trips with Neural Networks and Support Vector Machines
Real-Time Detection of Crash-Prone Conditions at Freeway High-Crash Locations
Unscented Kalman Filter Method for Speed Estimation Using Single Loop Detector Data
Predicting Urban Arterial Travel Time with State-Space Neural Networks and Kalman Filters
Frameworks to Represent Uncertainty When Level of Service Is Determined
Travel Time Estimation with Correlation Analysis of Single Loop Detector Data
Kalman Filter-Based Tracking System for Automated Inventory of Roadway Signs
Moments Analysis for Improving Decision Reliability Based on Travel Time