Combining accelerometer data and contextual variables to evaluate the risk of driver behaviour

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dc.contributor.author Joubert, Johannes Willem
dc.contributor.author De Beer, Dirk
dc.contributor.author De Koker, Nico
dc.date.accessioned 2016-07-22T08:12:54Z
dc.date.issued 2016-08
dc.description.abstract Telemetry devices are generating and transferring increasingly more data, with notable potential for decision makers. In this paper we consider the accelerometer and speed data produced by in-vehicle data recorders as a proxy for driver behaviour. Instead of extracting harsh events to cope with the large volumes of data, we discretise the data into a tractable and finite risk space. This novel methodology allows us to track both acceptable and non-acceptable driving behaviour, and calculate a more comprehensive risk model using the envelope of the data, and nota priorithresholds. We show how thresholds suggested in literature can characterise some driving behaviour as good, even though our empirical evidence has not even registered such extreme driving behaviour. We demonstrate the model using accelerometer data from 124 vehicles over a one month period. Three rules, each a combination of accelerometer and/or speed data, are applied to the risk space to derive person-specific scores that are comparable among the individuals. The results show that the scoring is useful to identify specific risk groups. The proposed model is also dynamic in that it dynamically adjusts to the observed records, instead of data having to abide by a limited model specification. en_ZA
dc.description.department Industrial and Systems Engineering en_ZA
dc.description.embargo 2017-08-31
dc.description.librarian hb2016 en_ZA
dc.description.uri http://www.elsevier.com/locate/trf en_ZA
dc.identifier.citation Joubert, JW, De Beer, D & De Koker, N 2016, 'Combining accelerometer data and contextual variables to evaluate the risk of driver behaviour', Transportation Research Part F : Traffic Psychology and Behaviour, vol. 41, part. A, pp. 80-96. en_ZA
dc.identifier.issn 1369-8478
dc.identifier.other 10.1016/j.trf.2016.06.006
dc.identifier.uri http://hdl.handle.net/2263/56030
dc.language.iso en en_ZA
dc.publisher Elsevier en_ZA
dc.rights © 2016 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Transportation Research Part F: Traffic Psychology and Behaviour. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Transportation Research Part F: Traffic Psychology and Behaviour, vol. 41, part. A, pp. z-zz, 2016. doi : 10.1016/j.trf.2016.06.006. en_ZA
dc.subject Risk profiling en_ZA
dc.subject Driver behaviour en_ZA
dc.subject Accelerometers en_ZA
dc.subject Speeding en_ZA
dc.title Combining accelerometer data and contextual variables to evaluate the risk of driver behaviour en_ZA
dc.type Postprint Article en_ZA


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