Extracting driving characteristics from heavy goods vehicle tachograph charts
Cherrett, T. J. and Pitfield, D. (2001) Extracting driving characteristics from heavy goods vehicle tachograph charts. Transport and Planning Technology, 24, (4), 349-363. (doi:10.1080/03081060108717673).
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European Union regulations require haulage companies of member states like the UK to keep records of their drivers' hours of work. All heavy goods vehicles (HGV's) over 7.5 tonnes are fitted with tachographs which record a driver's operating activities (periods of driving, other work and rest). These records are etched onto a laminated chart by various styli, one of which records the vehicle's speed. This paper describes the development and testing of a new technique for extracting individual driving characteristics from the speed trace of an HGV tachograph chart to calculate four parameters: distance travelled, average speed, time travelled and speed variability.
The average speed, time travelled and speed variability were analysed statistically using one-way analysis of variance tests. Speed variability was found to be particularly useful for identifying differences between individual driver's behaviour. Once differences in behaviours can be identified it may be possible to link certain driving habits to factors such as component wear, accident rates and excessive fuel usage.
|Digital Object Identifier (DOI):||doi:10.1080/03081060108717673|
|Additional Information:||Cherrett T. J., Pitfield D., (2001). "Extracting driving characteristics from heavy goods vehicle tachograph charts" Transport and Planning Technology, paper 669|
|Keywords:||tachograph, driver characteristics, heavy goods vehicle, speed variability|
|Subjects:||H Social Sciences > HE Transportation and Communications
H Social Sciences > HA Statistics
|Divisions :||University Structure - Pre August 2011 > School of Civil Engineering and the Environment
|Accepted Date and Publication Date:||
|Date Deposited:||23 Jul 2008|
|Last Modified:||31 Mar 2016 12:32|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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