Extracting driving characteristics from heavy goods vehicle tachograph charts
Extracting driving characteristics from heavy goods vehicle tachograph charts
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.
tachograph, driver characteristics, heavy goods vehicle, speed variability
349-363
Cherrett, Tom
e5929951-e97c-4720-96a8-3e586f2d5f95
Pitfield, David
bdb47dec-8ac3-45d9-8e08-52809d5d5120
2001
Cherrett, Tom
e5929951-e97c-4720-96a8-3e586f2d5f95
Pitfield, David
bdb47dec-8ac3-45d9-8e08-52809d5d5120
Cherrett, Tom and Pitfield, David
(2001)
Extracting driving characteristics from heavy goods vehicle tachograph charts.
Transportation Planning and Technology, 24 (4), .
(doi:10.1080/03081060108717673).
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.
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Published date: 2001
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
Organisations:
Civil Engineering & the Environment
Identifiers
Local EPrints ID: 184919
URI: http://eprints.soton.ac.uk/id/eprint/184919
ISSN: 0308-1060
PURE UUID: 8c367a20-35f8-494d-a480-4d9b7bdcf0f2
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Date deposited: 06 Jun 2011 10:28
Last modified: 15 Mar 2024 02:48
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Author:
David Pitfield
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