Abstract
This paper presents work undertaken to develop a high locality simulation of a real world driving environment within the STISIM Drive® v3 software. The paper considers the tools and techniques used to develop the simulation model and then examines the impact that the addition of realistic models has on driver performance metrics. In order to test the developed simulation model, participants drove both a high and low locality version of the same route in a driving simulator as well as the real world route. Drivers’ levels of immersion, perception of presence, performance metrics and subjective workload ratings were considered. Results from an initial pilot study suggest that individual differences play a role in participants’ levels of presence between simulations. Results are discussed in terms of potential future research.
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Acknowledgments
This work was partially supported by supported by the UK Engineering and Physical Sciences Research Council (EPSRC) grant EP/N022262/1 “Green Adaptive Control for Interconnected Vehicles”, EPSRC grant EP/G036896/1 and industrial sponsor Jaguar Land Rover, under the Industry Doctoral Training Centre in Transport and the Environment. The researchers would like to thank Karen Ghali for assistance in accessing the university instrumented vehicle. The researchers also extend their thanks participants who donated their time to be part of the study.
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Allison, C.K., Parnell, K.J., Brown, J.W.H., Stanton, N.A. (2018). Modeling the Real World Using STISIM Drive® Simulation Software: A Study Contrasting High and Low Locality Simulations. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2017. Advances in Intelligent Systems and Computing, vol 597. Springer, Cham. https://doi.org/10.1007/978-3-319-60441-1_87
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DOI: https://doi.org/10.1007/978-3-319-60441-1_87
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