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连续长大下坡心率与线形指标关系模型

Modeling Drivers’ Heart Rate and Highway Alignment Relationship on Long Steep Downgrades

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【作者】 廖军洪邵春福邬洪波孙轶轩王书灵

【Author】 LIAO Jun-hong1,2,SHAO Chun-fu1,WU Hong-bo2,SUN Yi-xuan1,WANG Shu-ling1(1.MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University,Beijing 100044,China;2.Research Institute of Highway,MOT,Beijing 100088,China)

【机构】 北京交通大学城市交通复杂系统理论与技术教育部重点实验室交通运输部公路科学研究院

【摘要】 山区高速公路连续长大下坡路段受道路条件和不利气候条件影响,发生交通事故的可能性和严重程度均相对较高.本文以提升连续长大下坡路段交通安全水平为出发点,通过典型山区高速公路连续长大下坡路段实车试验,采集驾驶员生理指标数据,并以心率增长率作为表征驾驶员心理变化的指标,建立了驾驶员心率增长率与车辆驶离连续长大下坡路段起点的距离、车辆所在坡段的曲率和车辆运行速度的关系模型;提出了基于驾驶员心率指标的连续长大下坡路段路线安全性评价方法;建立了评价标准和评价流程.本文模型充分考虑了连续长大下坡路段道路环境和车辆行驶特征,可以为山区高速公路路线安全设计提供理论支撑.

【Abstract】 Influenced by such factors as road environment and severe weather condition,the probability and severity of traffic accident is much higher on long steep downgrades.This study aims to improve the traffic safety level on long steep downgrades on mountain freeways.First,filed experiments is conducted to collect drivers’ physiological data when vehicles travelling on long steep downgrades on typical mountain freeways.The growth rate of heart rate(GRHR) is selected as the representation indicator of drivers’ driving psychology.Then the study develops the relational model between drivers’ GRHR and the distance to the beginning of the downgrade,the curvature of current section and the operating speed.Moreover,the traffic safety assessment technique of highway alignment based on the indicator of drivers’ heart rate for long steep downgrades is put forward,and the assessment criteria and process is presented.Considering the main traffic safety influencing factors such as the characteristics of road environment and the operation status of vehicles,the proposed model provides theoretical support for the design of highway alignment on long steep downgrades.

【基金】 国家科技支撑计划项目(2009BAG13A02);教育部博士点基金项目(20090009110011)
  • 【文献出处】 交通运输系统工程与信息 ,Journal of Transportation Systems Engineering and Information Technology , 编辑部邮箱 ,2012年04期
  • 【分类号】U412.32
  • 【被引频次】20
  • 【下载频次】302
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