At present, most of the studies on autonomous vehicles mainly focus on improving driving safety and efficiency, while less consideration is given to the comfort of passengers. Therefore, in order to gain and optimize quantitative indices for the ride experience of autonomous vehicles, this paper proposes an evaluation method for the correlation between driving behavior and passenger comfort with bidirectional long short-term memory network and attention mechanism. By collecting subjective feeling scores of passengers under different driving styles, and measuring the pressure level with skin conductance response and heart rate variability, the comprehensive quantitative indices of passenger comfort caused by driving behavior are evaluated. Based on this, a personalized comfort evaluation model for passengers with different driving style preferences is established. The results obtained from experiments in open road and closed test areas have validated the effectiveness and feasibility
of the method proposed in this paper.
彭诗玮1，张希1，朱旺旺1，窦瑞2
. Comfort of Autonomous Vehicles Incorporating Quantitative Indices for Passenger Feeling[J]. Journal of Shanghai Jiaotong University(Science), 2024
, 29(6)
: 1063
-1070
.
DOI: 10.1007/s12204-022-2531-5
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