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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/22689

Title: Measuring driver's relative performance over time using DEA and window analysis
Authors: Babaee, Seddigheh
Shen, Yongjun
Hermans, Elke
Brijs, Tom
Wets, Geert
Issue Date: 2016
Publisher: World Scientific Publishing
Citation: Zeng, Xianyi; Lu, Jie; Kerre, Etienne E.; Martinez, Luis; Koehl, Ludovic (Ed.). Uncertainty Modelling in Knowledge Engineering and Decision Making, Proceeding of the 12th International FLINS Conferense (FLINS 2016), World Scientific Publishing,p. 885-890
Series/Report: World Scientific Proceedings Series on Computer Engineering and Information Science
Series/Report no.: 10
Abstract: Among different road user types, drivers represent the largest share of road fatalities. As a result, more attention should be paid to the behavior of drivers, especially their behavior over time. By using driving simulator data, this study aims to investigate the relative performance of individual drivers over time. To this end, 20 participants (14 in the end) completed a particular simulator scenario over five days, and their driving performance at various points along the driving scenario was recorded. By taking all this information into account, the technique of data envelopment analysis was applied to assess the relative performance of each driver, and the window analysis was used to measure the variations in performance over time.
URI: http://hdl.handle.net/1942/22689
DOI: 10.1142/9789813146976_0137
ISBN: 9789813146976
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

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