Abstract
This paper presents the analysis of UK road accident data to inform the development of a Direct Vision Standard (DVS) for trucks in the UK. The research forms part of a project funded by Transport for London. The DVS allows any truck to be rated in terms of its performance in the field of view afforded the driver. The standard will be used to limit the movement of poorly rated vehicles within central London from 2020. The standard will also foster improved truck designs for direct vision in the future. The analysis used accident data from the UK STATS 19 database between 2010 and 2015. Data were categorized on causation data and a series of accident characteristics to identify scenarios of accidents between trucks and vulnerable road users. These scenarios then informed the design of the DVS, in particular the definition of the areas of greatest risk around the cab.
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References
Talbot, R., Reed, S., Barnes, J., Thomas, P., Christie, N.: Pedal Cyclist Fatalities in London: Analysis of Police Collision Files (2007–2011). Research Report. Transport Safety Research Centre, Loughborough University, Centre for Transport Studies, University College London (2014). https://dspace.lboro.ac.uk/2134/16487
Department for Transport: Reported Road Casualties in Great Britain: 2015. Annual Report. Moving Britain Ahead (2016)
Cook, S.E., Summerskill, S., Marshall, R., et al.: The development of improvements to drivers’ direct and indirect vision from vehicles. Phase 2. Loughborough University. Report for Department for Transport (2011). https://dspace.lboro.ac.uk/2134/8873
Summerskill, S., Marshall, R., Paterson, A., Reed, S.: Understanding direct and indirect driver vision in heavy goods vehicles: Final report prepared on behalf of Transport for London. Loughborough: Loughborough University (2015). https://dspace.lboro.ac.uk/2134/8874
Transport for London: Vision Zero Action Plan. Taking Forward the Mayor’s Transport Strategy (2018). http://content.tfl.gov.uk/vision-zero-action-plan.pdf
Marshall, R., Summerskill, S., Cook, S.: Development of a volumetric projection technique for the digital evaluation of field of view. Ergonomics 56(9), 1437–1450 (2013). http://dx.doi.org/10.1080/00140139.2013.815805
Summerskill, S., Marshall, R., Cook, S.E., Lenard, J.A., Richardson, J.H.: The use of volumetric projections in digital human modelling software for the identification of large goods vehicle blind spots. Appl. Ergon. 53, 267–280 (2016). https://doi.org/10.1016/j.apergo.2015.10.013. part. A
UNECE Regulation 46: Uniform Provisions for Devices for Indirect Vision and of Motor Vehicles with Regard to the Installation of these Devices. UN ECE Vehicle Regulations (2009)
Summerskill, S., Marshall, R., Paterson, A., Eland, A., Lenard, J.: The Definition, Production and Validation of the Direct Vision Standard (DVS) for HGVs: Final report prepared on behalf of Transport for London. Loughborough University, Loughborough (2019). https://dspace.lboro.ac.uk/2134/36622
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Marshall, R., Summerskill, S., Lenard, J. (2020). The Analysis of UK Road Traffic Accident Data and its Use in the Development of a Direct Vision Standard for Trucks in London. In: Stanton, N. (eds) Advances in Human Factors of Transportation. AHFE 2019. Advances in Intelligent Systems and Computing, vol 964. Springer, Cham. https://doi.org/10.1007/978-3-030-20503-4_39
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DOI: https://doi.org/10.1007/978-3-030-20503-4_39
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