Predicting Travel Times with Context-Dependent Random Forests by Modeling Local and Aggregate Traffic Flow

Predicting future traffic flow has the potential to decrease travel times. This paper describes a methodology developed to predict future travel times based on GPS reports of 1% of the cars on the road in a simulation framework. Features representing local and aggregate models of traffic flow were e...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	Hamner, B
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Aggregates Global Positioning System Prediction algorithms Predictive models Principal component analysis Random Forest Roads Traffic Prediction Training
Online-Zugang:	Volltext bestellen
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