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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/18074

Title: Combining driving performance information in an index score: a simulated curve-taking experiment
Authors: BABAEE, Seddigheh
SHEN, Yongjun
WETS, Geert
ARIEN, Caroline
Issue Date: 2014
Citation: TRANSPORTATION RESEARCH RECORD, 3952 (2434), p. 44-51
Abstract: This study used data from a driving simulator to identify the best car drivers in a sample and gain insight about the most problematic behavior of each driver. To this end, 38 participants varying in age and gender were enrolled to take part in a particular simulator scenario, curve taking. Based on a review of the literature, a driver’s speed, acceleration, and lateral position are the three most important driving performance indicators. In the simulations, the three indicators were monitored at points before, during, and after a curve. As a widely accepted tool for performance monitoring, benchmarking, and policy analysis, the concept of composite indicators, which combines single indicators into one index score, was employed. The technique of data envelopment analysis, which is an optimization model for measuring the relative performance of a set of decision-making units, or drivers in this study, was used for the index construction. On the basis of the results, best performers were distinguished from underperforming drivers. Moreover, by analyzing the weights allocated to each indicator from the model, the most problematic parameter (such as lateral position) and point along the curve (such as at curve end) were identified for each driver; this process led to specific driver improvement recommendations (such as training programs).
Notes: Babaee, S (reprint author), Hasselt Univ, Transportat Res Inst, Wetenschapspark 5,Bus 6, BE-3590 Diepenbeek, Belgium. seddigheh.babaee@uhasselt.be
URI: http://hdl.handle.net/1942/18074
Link to publication: http://pubsindex.trb.org/view/2014/C/1289116
DOI: 10.3141/2434-06
ISI #: 000345955600007
ISSN: 0361-1981
Category: A1
Type: Journal Contribution
Validation: ecoom, 2016
Appears in Collections: Research publications

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