SHORT-TERM TRAFFIC SPEED PREDICTION AND FORECASTING USING MACHINE LEARNING ANALYSIS OF SPATIOTEMPORAL TRAFFIC SPEED DEPENDENCIES IN PROBE AND WEATHER DATA

A framework for modeling traffic speed in a transportation network analyzes both the spatial and temporal dependencies in probe-based traffic speeds, historical weather data, and forecasted weather data, using multiple machine learning models. A decentralized partial least squares (PLS) regression m...

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Bibliographische Detailangaben

Hauptverfasser:	KHOSHMAGHAM, SHAYAN, SYMES, TIFFANY E, HOSSEINI, POUYAN
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING MEASURING METEOROLOGY PHYSICS SIGNALLING TESTING TRAFFIC CONTROL SYSTEMS
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