9791221502893_20.pdf

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...

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Γλώσσα:English
Έκδοση: Firenze University Press 2024
Διαθέσιμο Online:https://books.fupress.com/doi/capitoli/979-12-215-0289-3_20
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spelling oapen-20.500.12657-891122024-04-03T02:23:41Z Chapter Driving Simulator for Road Safety Design: A Comparison Between Virtual Reality Tests and In-Field Tests Terrosi, Alessandro Infante, Irene Meocci, Monica Paliotto, Andrea La Torre Bellardoni, Francesca 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 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 2024-04-02T15:46:55Z 2024-04-02T15:46:55Z 2023 chapter ONIX_20240402_9791221502893_81 2704-5846 9791221502893 https://library.oapen.org/handle/20.500.12657/89112 eng Proceedings e report application/pdf n/a 9791221502893_20.pdf https://books.fupress.com/doi/capitoli/979-12-215-0289-3_20 Firenze University Press 10.36253/979-12-215-0289-3.20 10.36253/979-12-215-0289-3.20 bf65d21a-78e5-4ba2-983a-dbfa90962870 9791221502893 137 13 Florence open access
institution OAPEN
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language English
description 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
title 9791221502893_20.pdf
spellingShingle 9791221502893_20.pdf
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title_full 9791221502893_20.pdf
title_fullStr 9791221502893_20.pdf
title_full_unstemmed 9791221502893_20.pdf
title_sort 9791221502893_20.pdf
publisher Firenze University Press
publishDate 2024
url https://books.fupress.com/doi/capitoli/979-12-215-0289-3_20
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