TY  - JOUR
PY  - 2022//
TI  - Ride comfort assessment for automated vehicles utilizing a road surface model and Monte Carlo simulations
JO  - Computer-aided civil and infrastructure engineering
A1  - Genser, Alexander
A1  - Spielhofer, Roland
A1  - Nitsche, Philippe
A1  - Kouvelas, Anastasios
SP  - 1316
EP  - 1334
VL  - 37
IS  - 10
N2  - 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>
LA  - en
SN  - 1093-9687
UR  - http://dx.doi.org/10.1111/mice.12787
ID  - ref1
ER  -