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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/16219

Title: Investigating individual driver performance – applying DEA on simulator data
Authors: BABAEE, Seddigheh
SHEN, Yongjun
HERMANS, Elke
WETS, Geert
BRIJS, Tom
Issue Date: 2014
Citation: PRACTICAL APPLICATIONS OF INTELLIGENT SYSTEMS, ISKE 2013, p. 623-635
Series/Report: Advances in Intelligent Systems and Computing
Series/Report no.: 279
Abstract: The main purpose of the present study is to investigate individual driver’s behavior by us-ing the data from a driving simulator, in order to distinguish the best drivers and identify the problematic behavior of ‘underperforming’ drivers. To this end, 129 participants with different age and gender were enrolled to take part in a particular simulator scenario (i.e., curve taking) and their speed, acceleration and lateral position, the three most important driving performance indicators based on literature review, were monitored at various points (before, during and after the curve) while driving a STISIM simulator. As a widely accept-ed tool for performance monitoring, benchmarking and policy analysis, the concept of composite indicators (CIs), i.e., combining single indicators into one index score, was em-ployed, and the technique of data envelopment analysis – an optimization model for meas-uring the relative performance of a set of decision making units, or drivers in this study – was used for the index construction. Based on the results from the model, all drivers were ranked, and valuable insight were gained by comparing the relative performance of each driver. Finally, the sensitivity of the results was examined.
Notes: Babaee, S (reprint author), Hasselt Univ, Transportat Res Inst IMOB, Wetenschapspk 5 Bus 6, B-3590 Diepenbeek, Belgium. seddigheh.babaee@uhasselt.be; yongjun.shen@uhasselt.be; elke.hermans@uhasselt.be; geert.wets@uhasselt.be; tom.brijs@uhasselt.be
URI: http://hdl.handle.net/1942/16219
DOI: 10.1007/978-3-642-54927-4_59
ISI #: 000348509400059
ISBN: 9783642549267
ISSN: 2194-5357
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2016
Appears in Collections: Research publications

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