Virtual Driver Ergonomics

This page gives overall information about the project.

The aim of the Virtual Driver Ergonomics project (KK-stiftelsen/INFINIT Dnr 20160296) is to carry out research related to the development of the Swedish digital human modelling (DHM) tool IPS IMMA so that it is able to assist product developers in the vehicle industry to perform fast and objective virtual driver-vehicle interaction analyses of physical ergonomics. The aim is a tool with high usability that supports and automates the simulation work. More specifically the project will focus on how to enable fast and objective simulations of virtual driving test routines and subsequent ergonomics evaluations and comparisons of design alternatives.

Duration

2017-2019

Project leaders

Dan Högberg, University of Skövde
Lars Hanson, University of Skövde / Scania AB

Senior researchers

Robert Bohlin (PhD), FCC
Erik Brolin (PhD), University of Skövde
Johan S Carlson (PhD), FCC
Lars Hanson (Professor), University of Skövde / Scania AB
Dan Högberg (Professor), University of Skövde

Research assistants

Niclas Delfs, FCC
Peter Mårdberg, FCC/University of Skövde
Pamela Ruiz Castro, University of Skövde
Aitor Iriondo, University of Skövde

Partners

Academic institutions / Research organisations

- University of Skövde
- Fraunhofer-Chalmers Centre (FCC)

Industrial partners

- Scania CV AB
- Volvo Car Corporation
- Volvo Technology AB

Funding 

The project is funded by:
- KK-foundation through the INFINIT research environment at University of Skövde
- The participating organisations

Publications and other results

Högberg, D., Brolin, E. and Hanson, L. (2018). Concept of Formalized Test Procedure for Proactive Assessment of Ergonomic Value by Digital Human Modelling Tools in Lean Product Development. Advances in Human Factors in Simulation and Modeling. Cassenti, D.N. (Ed.). AHFE Conference, pp. 425-436, ISBN 978-3-319-60590-6.

Brolin, E., Högberg, D., Hanson, L. and Björkenstam, S. (2017). Virtual test persons based on diverse anthropometric data for ergonomics simulations and analysis. Proceedings of the NES 2017 Conference "Joy at Work", August 2017, Lund University, ISBN 978-91-7753-152-4.

Brolin, E., Högberg, D., Hanson, L. and Örtengren, R. (2017). Adaptive regression model for synthesizing anthropometric population data. International Journal of Industrial Ergonomics, Vol. 59, pp. 46-53.