交通运输系统工程与信息 ›› 2014, Vol. 14 ›› Issue (1): 41-46.

• 智能交通系统与信息技术 • 上一篇    下一篇

驾驶人公路驾车过程中主要生理参数变化规律研究

胡立伟*, 林玉珍   

  1. 昆明理工大学 交通工程学院,昆明 650500
  • 收稿日期:2013-06-04 修回日期:2013-08-27 出版日期:2014-02-25 发布日期:2014-07-07
  • 作者简介:胡立伟(1977-),男,山东潍坊人,讲师,工学博士.
  • 基金资助:

    国家自然科学基金(51208238);昆明理工大学人才培养基金(14118579).

Variation Law of Driver’s Main Physiological Indicators Driving on Highway

HU Li-wei, LIN Yu-zhen   

  1. Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, China
  • Received:2013-06-04 Revised:2013-08-27 Online:2014-02-25 Published:2014-07-07

摘要:

为了探究驾驶人在不同等级公路上驾车过程中生理心理指标变化情况,本文利用Nexus-10多通道生物生理记录仪,对驾驶人在4类等级公路上进行了实车动态测试实验.通过对实验采集的生理特性指标(脑电图、心率、血容量、呼吸等)数据深入分析,得到不同类驾驶人在不同等级公路上驾车过程中的主要生理特性指标动态变化规律,并对规律的差异性及其中的峰值产生原因进行了深入分析.本文实验过程与方法及其分析结论可为公路线形设计、交通设施设计设置、交通环境治理等提供实验依据,为公路交通管理与控制等提供实验与理论参考.

关键词: 公路运输, 生理指标, 驾驶人, 脑电图, 心率, 血容量, 呼吸

Abstract:

In order to explore the variation of driver’s physiological and psychological indicators in driving different levels of highway, a series of real car dynamic experimental is carried out to test the drivers on four categories highway(freeway, first-class highway, second-class highway and third-class highway) utilizing NeXus-10, which is a 10 channel physiological monitoring and a battery powered biofeedback device, intended to monitor and feed back physiological parameters on the human body for relaxation training, muscle reeducation and prescription use. Through analyzing and discussing the physiological characteristics indicators datum (EEG, HR, BVP, RSP, etc.) which are collected by experiment, the dynamic variation law of six types of drivers’ physiological indicators is got on the different levels of highway. The conclusions provide experimental evidence for the highway alignment design, traffic facilities design and set, transportation environmental governance, etc.. It also provides some theoretical reference for the highway traffic management and control.

Key words: highway transportation, physiological indicators, driver, EEG, HR, BVP, RSP

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