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Modelling and determination of heavy-duty vehicle driver visual field in the virtual environment

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Abstract

In the world of computers, that is, by application of modern tools to determine and represent the visual field, of the heavy-duty vehicles driver in the virtual environment, the real investigations can be successfully replaced with the virtual ones. Demands which one vehicle must to satisfy during the projecting phase are: comfort, visibility, easy manoeuvrability, esthetical demands and similar. One very important demand from the aspect of the safety of all traffic participants and reliability of all systems on the vehicle is the good visibility around the vehicle, which investigation is the aim of this paper. The purpose of this paper is the analysis of everyday situation of truck driver at the intersection, in the virtual reality, as well as the analysis of causes which lead to the traffic accident. The main aim of the paper is to determine do a truck driver sees the vulnerable group of traffic participants depending from their mutual position, by application of RAMSIS software. By application of the virtual reality, the main finding of this study, is that the truck driver in some situations cannot see the vulnerable group of traffic participants. The originality of this study bases on the investigation, do a truck driver sees the electric scooter driver, and the idea for such research have come on the basis of everyday situations, because the electric scooters are more and more present on streets.

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Highlights

Were identified factors which contribute to the traffic accidents occurrence.

It was developed model for the analysis of the driver visual field, as well as the characteristic situations with which confronts the truck driver.

By application of the virtual environment, it was shown do a truck driver sees other traffic participants, depending from their mutual position, in the case when the mirrors are adjusted according to the UNECE Regulation 46.

The novelty of this paper, in respect to the previous researches is the analysis do an electric scooter driver is visible to the truck driver.

It was shown the measures for the reduction of traffic accidents, between the truck and vulnerable group of traffic participants.

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Abbreviations

3D:

Three-dimensional model.

BSD systems:

Blind Spot Detection systems.

CAD:

Computer Aided Design.

N3:

vehicle for which the highest allowed mass is higher than 12t.

UNECE:

United Nations Economic Commission for Europe.

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Acknowledgements

This paper was realized within the framework of the project “The research of vehicle safety as part of a cybernetic system: Driver-Vehicle-Environment”, ref. no. TR35041, funded by the Ministry of Education, Science and Technological Development of the Republic of Serbia.

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Correspondence to Ivan Grujic.

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Stojanovic, N., Ghazaly, N.M., Grujic, I. et al. Modelling and determination of heavy-duty vehicle driver visual field in the virtual environment. J Ambient Intell Human Comput 14, 11173–11183 (2023). https://doi.org/10.1007/s12652-022-04397-5

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  • DOI: https://doi.org/10.1007/s12652-022-04397-5

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