@article{ref1,
title="Ride comfort assessment for automated vehicles utilizing a road surface model and Monte Carlo simulations",
journal="Computer-aided civil and infrastructure engineering",
year="2022",
author="Genser, Alexander and Spielhofer, Roland and Nitsche, Philippe and Kouvelas, Anastasios",
volume="37",
number="10",
pages="1316-1334",
abstract="The growing number of automated vehicles (AVs) necessitates good ride comfort for passengers. This research investigates currently available ride comfort methods and evaluates their performance with a validated simulation framework. The methodology developed encompasses a high-precision road surface model and uses Monte Carlo simulations to compile accurate and representative virtual chassis acceleration data. By utilizing a threshold method and standard ISO 2631 ride comfort guidelines, results are compared to classifications based on empirical International Roughness Index data. A case study conducted in Austria specifies that ISO 2631 comfort estimates are most similar to International Roughness Index classifications and that the thresholding procedure detects preventable situations and over- or underestimated ride comfort. Thus, this methodology can help to better understand requirements for AVs' comfort, as well as justifying the importance of developing a sophisticated performance metric.<p /> <p>Language: en</p>",
language="en",
issn="1093-9687",
doi="10.1111/mice.12787",
url="http://dx.doi.org/10.1111/mice.12787"
}