Development of a real-time prediction model of driver behavior at intersections using kinematic time series data.

Accident Analysis & Prevention(2017)

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摘要
•Connected autonomous vehicles need to predict models human driving behavior.•We develop a novel model to predict stopping at an intersection before a left turn.•Our model produces accurate predictions of turning behavior.•We consider tradeoffs between unnecessary stopping and risking crashes.
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关键词
Connected driverless vehicles,Connected autonomous vehicles,Bayesian additive regression trees,Naturalistic driving data,Principal components analysis,Longitudinal prediction
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