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Extracting driving characteristics from heavy goods vehicle tachograph charts
Authors:Tom Cherrett  David Pitfield
Affiliation:1. Transportation Research Group, Department of Civil and Environmental Engineering , University of Southampton , Highfield, Southampton, SO17 1BJ, United Kingdom;2. Centre for Transport Studies, Department of Civil and Building Engineering , Loughborough University , Loughborough, LE11 3TU, United Kingdom
Abstract:

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.
Keywords:Tachograph  Driver characteristics  Heavy goods vehicle  Speed variability
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