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Ride comfort assessment for automated vehicles utilizing a road surface model and Monte Carlo simulations
2021
Computer-Aided Civil and Infrastructure Engineering
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,
doi:10.1111/mice.12787
fatcat:eurpf7x345ecnmjjgtwzh54pju