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Defining the requirement for a direct vision standard for trucks using a DHM based blind spot analysis

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conference contribution
posted on 17.11.2017 by Steve Summerskill, Russell Marshall
The aim of the study was to understand the nature of blindspots in the vision of drivers of trucks caused by vehicle design variables such as cab design. The paper is the second of two submitted to ICED17. This paper focuses upon the results for the quantification of blindspots and the first paper presents the methodology (Marshall & Summerskill, 2017). In order to establish the cause and nature of blind spots 19 top selling trucks were scanned and imported into the SAMMIE DHM system. A CAD based vision projection technique allowed multiple mirror and window aperture projections to be created. By determining where simulated VRUs could be positioned without being visible in the direct vision of a driver, the vehicles were compared. By comparing the drivers eye height and the obscuration distance of VRUs a correlation was identified. By exploring the design features of outliers in this correlation, it was determined that direct vision blind spots are affected by various design variables. This led to the definition of a requirement for a direct vision standard for trucks, with a standard now being defined by the authors in a project funded by Transport for London.

History

School

  • Design

Published in

ICED Proceedings of the International Conference on Engineering Design, ICED

Volume

8

Issue

DS87-8

Pages

329 - 338

Citation

SUMMERSKILL, S. and MARSHALL, R., 2017. Defining the requirement for a direct vision standard for trucks using a DHM based blind spot analysis. IN: Maier, A. ... et al (eds). Proceedings of the 21st International Conference on Engineering Design (ICED17), Vol. 8: Human Behaviour in Design, Vancouver, Canada, 21st-25th August 2017, pp. 329-338.

Publisher

© Design Society

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

28/04/2017

Publication date

2017

Notes

This is a conference paper.

ISBN

9781904670964

ISSN

2220-4342

Language

en

Location

Vancouver

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