Predicting human-driving behavior to help driverless vehicles drive: random intercept Bayesian Additive Regression Trees

The development of driverless vehicles has spurred the need to predict human driving behavior to facilitate interaction between driverless and human-driven vehicles. Predicting human driving movements can be challenging, and poor prediction models can lead to accidents between the driverless and hum...

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Hauptverfasser:	Tan, Yaoyuan Vincent, Flannagan, Carol A. C, Elliott, Michael R
Format:	Artikel
Sprache:	eng
Schlagworte:	Statistics - Applications
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