基于智能手机的公交运行舒适性测度指标研究

为量化分析公共汽车运行过程中行驶平顺性以及车体振动状态对乘车舒适性的影响.以智能手机作为数据采集终端,通过对速度、经纬度数据的统计分析构建表征平顺性的多维变量,并以主成分分析法降维获得平顺舒适性指标;另一方面,通过对高频采集的加速度数据进行傅氏变换构建振动舒适性指标.该研究弥补了以往研究中忽略车辆运行状态对舒适性影响的不足.通过多项Logit回归法分析调查数据表明,该研究基于智能手机采集数据所构建的舒适性测度指标值能客观反映乘客对公交运行状态的舒适性主观感知.

Smartphone Based Research of Measurement Indexes Related to Bus Riding Comfort

The purpose of this study is to quantitatively analyze the impact of ride comfort and the vibration state of the vehicle during the operation of the bus.The smartphone as a data collection terminal, The multidimensional variables characterizing ride comfort are constructed by statistical analysis of velocity and latitude and longitude data, and obtains the smooth comfort index by the principal component analysis; on the other hand, applied Fourier transform with acceleration data to build vibration comfort index. This paper makes up for past researchs that ignored the running state on the impact of riding comfort. Using smartphone-based acquisition data to constructed comfort measurement indexs is operational. Applied Logit regression model with cruising data and Results indicated that the comfort indexes can objectivity reflect the passenger subjective perception of bus running status.