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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
            Show full item record
            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://doab-dev.siscern.org/handle/20.500.12854/156200
            Keywords
            driving simulator; road safety; virtual reality; road safety treatments; road safety measures effectiveness; in-field test; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization
            DOI
            10.36253/979-12-215-0289-3.20
            ISBN
            9791221502893
            Publisher
            Firenze University Press
            Publisher website
            www.fupress.com/
            Publication date and place
            Florence, 2023
            Series
            Proceedings e report,
            Pages
            13
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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