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Aggregation of driver celeration behavior data: Effects on stability and accident prediction
Uppsala universitet, Humanistisk-samhällsvetenskapliga vetenskapsområdet, Samhällsvetenskapliga fakulteten, Institutionen för psykologi.
2007 (engelsk)Inngår i: Safety Science, ISSN 0925-7535, E-ISSN 1879-1042, Vol. 45, nr 4, s. 487-500Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Predictions about effects of aggregating driver celeration data were tested in a set of data where bus drivers' behavior had been measured repeatedly over three years in a city environment. For drivers with many measurements, this data was correlated with the drivers' accident record at various levels of aggregation over measurements. A single measurement (one sample) was seldom a significant predictor, but for each drive added to a mean, the variation explained in accident record was increased by about 1%. Also, correlations between measurements increased when these were aggregated, and the association with number of passengers (a proxy for traffic density) decreased somewhat, all as predicted. These results show that although driver celeration behavior is only semi-stable across time and environments, aggregating measurements increases both stability and predictive power versus accidents considerably. The celeration variable is therefore promising as a tool for identifying dangerous drivers, if these can be measured repeatedly, or, even better, continuously.

sted, utgiver, år, opplag, sider
2007. Vol. 45, nr 4, s. 487-500
Emneord [en]
Acceleration, Bus driver, Celeration, Crash, Traffic accident
HSV kategori
Identifikatorer
URN: urn:nbn:se:uu:diva-13271DOI: 10.1016/j.ssci.2006.07.008ISI: 000245418500004OAI: oai:DiVA.org:uu-13271DiVA, id: diva2:41041
Tilgjengelig fra: 2008-01-22 Laget: 2008-01-22 Sist oppdatert: 2017-12-11bibliografisk kontrollert

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