A Simulation Study on Lane-Change Control of Automated Vehicles to Reduce Motion Sickness Based on a Computational Mode
Ryosuke Ukita, Yuki Okafuji, Takahiro Wada · 2020
A concern has been raised regarding the possible increase of motion sickness in automated vehicles. Therefore, automated vehicles without motion sickness must be developed to provide a comfortable space for drivers. In this study, we propose a control method of automated vehicles that reduces the incidence of motion sickness in passengers. In the proposed method, the desired trajectory for the lane-change task and the steering-controller improvements in a path-following controller to track the path are determined to minimize motion sickness, based on a computational model of motion sickness. Numerical simulation results demonstrate that the vehicle can be successfully controlled during the lane-change task. The effectiveness of the proposed method is demonstrated by comparing with comfort indices of previous studies.