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    Chapter Driving Simulator for Road Safety Design: A Comparison Between Virtual Reality Tests and In-Field Tests

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    Author(s)
    Terrosi, Alessandro
    Infante, Irene
    Meocci, Monica
    Paliotto, Andrea
    La Torre Bellardoni, Francesca
    Language
    English
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    Abstract
    Virtual reality simulations conducted by driving simulators represent a methodology to assess both the quality of road design and road safety in a safe, controlled, and replicable environment. Nowadays, there are numerous studies that use driving simulators to analyze the driver's response when specific road safety treatments are planned before these are implemented. This approach allows the road designer/scientist to estimate the potential safety effectiveness of the countermeasure/design configuration considered. However, although virtual reality simulations are potentially extremely useful in the evaluation of road configuration design and treatments effectiveness, they also have cons. The two most important are the limitations in the reproducibility of the real world environment and the difference in drivers’ behavior due to the awareness that they are conducting a test. In this context, our research compared the data collected during virtual reality experiments with those collected in the field with an instrumented vehicle, after a few years from the implementation of the specific safety measure on a real road. Statistical analyses were conducted to compare the results of the two experiments to demonstrate the reliability of the virtual simulations and to identify the limitations
    URI
    https://library.oapen.org/handle/20.500.12657/89112
    Keywords
    driving simulator; road safety; virtual reality; road safety treatments; road safety measures effectiveness; in-field test
    DOI
    10.36253/979-12-215-0289-3.20
    ISBN
    9791221502893, 9791221502893
    Publisher
    Firenze University Press
    Publisher website
    https://www.fupress.com/
    Publication date and place
    Florence, 2023
    Series
    Proceedings e report, 137
    Classification
    Virtualization
    Pages
    13
    Rights
    https://creativecommons.org/licenses/by-nc/4.0/legalcode
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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