Abstract
Comfort is a significant factor that affects passengers’ choice of autonomous vehicles. The comfort of an autonomous vehicle is largely determined by its control algorithm. Therefore, if the comfort of passengers can be predicted based on factors that affect comfort and the control algorithm can be adjusted, it can be beneficial to improve the comfort of autonomous vehicles. In view of this, in the present study, a human-driven experiment was carried out to simulate the typical driving state of a future autonomous vehicle. In the experiment, vehicle motion parameters and the comfort evaluation results of passengers with different physiological characteristics were collected. A single-factor analysis method and binary logistic regression analysis model were used to determine the factors that affect the evaluation results of passenger comfort. A passenger comfort prediction model was established based on the bidirectional long short-term memory network model. The results demonstrate that the accuracy of the passenger comfort prediction model reached 84%, which can provide a theoretical basis for the adjustment of the control algorithm and path trajectory of autonomous vehicles.
Highlights
Research on autonomous vehicles is in full swing
There is a strong correlation between the comfort and acceptance of autonomous vehicles [1]
Schoettle and Sivak [7] conducted research on drivers and passengers in five countries: the United States, China, the United Kingdom, Japan, and India. They considered possible non-driving activities and made predictions on the comfort of the passengers; the results showed that 6%–10% of Chinese passengers are expected to experience varying degrees of motion sickness in fully autonomous vehicles, and that 6%–13% will sometimes experience moderate or severe motion sickness symptoms in fully autonomous vehicles, as compared with 4%–7% and 4%–9% in the UK, respectively
Summary
Autonomous vehicles are emerging primarily to provide travel services for humans, and the ride comfort of cars is an important evaluation criterion that reflects travel services. According to an new international survey on carsickness by Eike et al, they surveyed 4479 people from China, the UK, Brazil, and Germany about their experiences of carsickness and found that 46% of them had experienced some degree of carsickness within five years [2]. They surveyed 4479 people from China, the UK, Brazil, and Germany about their experiences of carsickness and found that 46% of them had experienced some degree of carsickness within five years [2] They pointed out that the country with the highest rate (61.7%) of motion sickness is China
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