关键词: 纯电动公交；乘坐舒适性；驾驶风格；谱聚类；智能手机

Abstract: In order to study the common problem of "carsickness" in the operation of pure electric bus, this paper uses smart phones as data acquisition equipment to collect the second by second operation data of 82 drivers on 10 lines. The bus operation process is divided into three stages: acceleration, uniform speed and deceleration. The analysis shows that 49.6% and 30.8% of the instantaneous acceleration in the acceleration and deceleration stages respectively exceed the comfort threshold, which will make passengers feel uncomfortable. At the same time, the speed stability in the uniform stage is far lower than that of social vehicles. In addition, in order to study the relationship between driving style and ride comfort, drivers are divided into three categories by using spectral clustering algorithm based on vehicle operating parameters. The analysis shows that the more aggressive the driving style is, the stronger the ride discomfort will be. Through the decomposition of the bus operation process and the effective clustering of drivers, it can provide theoretical guidance and data support for improving the riding comfort of pure electric bus, the evaluation of operation service quality, and the targeted improvement of drivers' driving skills.

Key words: Pure electric bus; Ride comfort; Driving style; Spectral clustering; Smart phones