Quality control of road project: identification and validation of a safety indicator
A. Calvi, F. D’Amico
Pages: 47-66
Abstract:
Geometrical indicators neglect both normal human behavior and driver’s behavior under specific conditions of stress, risk and fatigue. These conditions are frequently induced by the road environment and the way of driving. Repeated dynamic stresses (such as transversal accelerations) during driving can cause abnormal behaviors. This is the reason why a new, advanced and effective indicator is proposed and validated to assess the safety of road infrastructures considering the investigation of the variability of transversal accelerations as an unbiased indicator of discomfort. The main theoretical assumption is: a subject driving on a selfexplaining road assumes a correct and safe trajectory and the local transversal accelerations depend only on the curvature of road geometry. If the driver corrects the vehicle’s trajectory more than what road curvature imposes, the road is not self-explaining and, consequently, it can be unsafe. If the local transversal accelerations do not depend only on the actual road curvature, they are biased by the driver’s corrections of trajectory. The proposed indicator takes into account the frequency and the amplitude of anomalous corrections of trajectory. The theoretical hypothesis of high correlation between the proposed indicator and the observed accident rate has been verified using an advanced driving simulator. Moreover an analysis of the correlation between such an indicator and a geometrical parameter has been examined. Two Italian case studies are presented. The numerical results confirmed such a theoretical hypothesis. The values of correlation parameters are much higher than any expectation. These outcomes are extremely promising but validations to other case studies are suggested before model generalization.
Keywords: accident prediction; road safety; driving simulation; project quality; virtual reality; human factor
2025 ISSUES
2024 ISSUES
LXII - April 2024LXIII - July 2024LXIV - November 2024Special 2024 Vol1Special 2024 Vol2Special 2024 Vol3Special 2024 Vol4
2023 ISSUES
LIX - April 2023LX - July 2023LXI - November 2023Special Issue 2023 Vol1Special Issue 2023 Vol2Special Issue 2023 Vol3
2022 ISSUES
LVI - April 2022LVII - July 2022LVIII - November 2022Special Issue 2022 Vol1Special Issue 2022 Vol2Special Issue 2022 Vol3Special Issue 2022 Vol4
2021 ISSUES
LIII - April 2021LIV - July 2021LV - November 2021Special Issue 2021 Vol1Special Issue 2021 Vol2Special Issue 2021 Vol3
2020 ISSUES
2019 ISSUES
Special Issue 2019 Vol1Special Issue 2019 Vol2Special Issue 2019 Vol3XLIX - November 2019XLVII - April 2019XLVIII - July 2019
2018 ISSUES
Special Issue 2018 Vol1Special Issue 2018 Vol2Special Issue 2018 Vol3XLIV - April 2018XLV - July 2018XLVI - November 2018
2017 ISSUES
Special Issue 2017 Vol1Special Issue 2017 Vol2Special Issue 2017 Vol3XLI - April 2017XLII - July 2017XLIII - November 2017
2016 ISSUES
Special Issue 2016 Vol1Special Issue 2016 Vol2Special Issue 2016 Vol3XL - November 2016XXXIX - July 2016XXXVIII - April 2016
2015 ISSUES
Special Issue 2015 Vol1Special Issue 2015 Vol2XXXV - April 2015XXXVI - July 2015XXXVII - November 2015
2014 ISSUES
Special Issue 2014 Vol1Special Issue 2014 Vol2Special Issue 2014 Vol3XXXII - April 2014XXXIII - July 2014XXXIV - November 2014
2013 ISSUES
2012 ISSUES
2011 ISSUES
2010 ISSUES
2009 ISSUES
2008 ISSUES
2007 ISSUES
2006 ISSUES
2005 ISSUES
2004 ISSUES
2003 ISSUES