Session 2: DHM in Automotive

The use of DHM to quantify a measure of direct vision performance in trucks

Authors: Steve Summerskill (Loughborough University) , Russell Marshall (Loughborough University) , Abby Paterson (Loughborough University) , Anthony Eland (Loughborough University)

  • The use of DHM to quantify a measure of direct vision performance in trucks

    Session 2: DHM in Automotive

    The use of DHM to quantify a measure of direct vision performance in trucks

    Authors: , , ,

Abstract

Accidents between vulnerable road users and trucks have been linked to the inability of drivers to directly see the areas in close proximity to the front and sides of the vehicle cab. The lack of direct vision is mitigated through the use of mirrors. The coverage requirements of mirrors are standardized in a UNECE standard. Direct vision for trucks is not currently standardized in any way. Research by the authors identified key requirements for a Direct Vision Standard. Transport for London funded this work. This standard is now being applied in London, and a UNECE version is in development. The method used to quantify direct vision measures the volume of space that is visible, of an assessment volume around the vehicle cab, from a driver's eye point. The result is a volumetric score in m3. This paper describes how digital human modeling was used to provide a measure of real-world performance, which correlates to a high level with the volumetric score, and an automated version of this process that is being used in the UNECE version.

Keywords: digital human modeling, direct vision standard, safety, regulation, vulnerable road user

How to Cite:

Summerskill, S. & Marshall, R. & Paterson, A. & Eland, A., (2022) “The use of DHM to quantify a measure of direct vision performance in trucks”, Proceedings of the 7th International Digital Human Modeling Symposium 7(1): 10, 9 pages. doi: https://doi.org/10.17077/dhm.31756

Rights: Copyright © 2022 the author(s)

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Published on
23 Aug 2022
Peer Reviewed