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Drivers Driving Habits Data and Risk Group Cluster Analysis
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 Title & Authors
Drivers Driving Habits Data and Risk Group Cluster Analysis
Kim, Yong-Chul;
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 Abstract
Driving Event Data such as the rapid acceleration, the rapid deceleration, the sudden braking, and the sudden departure, and over speeding provide important information to predict or analyze the driving habits and accident risk of a driver. Most of the data that represent the driver`s driving habits generally fit to the parametric distribution, whereas extreme parts of the data to estimate the accident risk of a driver may not. This paper presents an empirical distribution that is divided into two regions, one is from the normal distribution, and the other is from the general pareto distribution for the driving habits of a driver.
 Keywords
Cluster analysis;Drivers driving habits;Event Recorder;Normal distribution;Pareto distribution;
 Language
Korean
 Cited by
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