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Document type:
Zeitschriftenaufsatz 
Author(s):
Wagner, P.; Niepold, R.; Gabloner, S.; Margreiter, M. 
Title:
Analyzing Human Driving Data - An Approach Motivated by Data Science Methods 
Abstract:
By analyzing a large data-base of car-driving data in a generic way, a few elementary facts on car-following have been found out. The inferences stem from the application of the mutual information to detect correlations to the data. Arguably, the most interesting fact is that the acceleration of the following vehicle depends mostly on the speed-difference to the lead vehicle. This seems to be a causal relationship, since acceleration follows speed-difference with an average delay of 0.5 s. Furth...    »
 
Journal title:
Journal Chaos, Solitons & Fractals 
Year:
2016 
Year / month:
2016-03 
Month:
Mar 
Reviewed:
ja 
Language:
en