摘要
借助心理学和生理学理论,利用驾驶模拟舱、动态多参数生理检测仪,对沥青路面表面状况与乘客心率指标之间的关系进行探讨,分析了4种路面状况3种不同行驶速度下的乘客心电(ECG)数据,共计12种.心率的箱形统计图没能得出沥青路面表面状况与心电(ECG)之间的固定规律.运用时间序列对心率进行时域分析,通过对各种试验状态下的心率数据进行直线趋势项提取、自相关分析及两种试验状态下的互相关分析,证明单种试验状态下的心电数据均为包含相关信息的平稳时间序列,证明该试验有进一步研究的价值;从数据互相关分析结果看,路面表面状况与速度2个因素及它们间的交互作用均对被试心率有影响.
In this paper, by the theory of psychology and physiology, the correlation research between asphalt pavement surface conditions and passengers＇ electrocardiogram had been done by the aid of equipments. Driving Simulation Module and Dynamic Multi-parameter Detector. All the cardiogram data research can be classified into 12 kinds, separately obtained from four kinds of road conditions and three kinds of different traffic speed. Heart rate box-statistic- charts failed to acquired the fixed laws between asphalt pavement conditions and cardiogram data. Based on time-series theory, heart rate data was made a time-domain analysis. Through elimination and extraction linear trend of original data, auto-correlation analysis and cross-correlation analysis between different experimental conditions data, the result was shown as below, this research was worthy of further studying, because a single-species test ECG data was a stationary time series, which included vast relation information;the cross coefficient of data obtained at different experimental conditions showed： road surface conditions, speed and their interactions were related with testers＇ electrocardiogram.
出处
《武汉理工大学学报（交通科学与工程版）》
2009年第6期1132-1136,共5页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
GM联合基金项目资助(批准号:50522201)
关键词
沥青路面
表面状况
心电
模拟
asphalt pavements
surface conditions
electrocardiogram
simulation
