期刊文献+

逆行非机动车骑行者的安全生理学特性 被引量:10

Safety physiology characteristics of bicyclists on reverse riding conditions
下载PDF
导出
摘要 为减少非机动车逆向骑行对道路交通流的影响,提升道路安全水平,研究逆行非机动车骑行者的安全生理学特性。通过高精度摄像机获取西安市3个道路断面的非机动车逆行比例,利用运动手环及手机监测骑行者逆行时的速度和心率,应用时域分析法对比分析骑行者逆行与正常骑行时的心率变异性(HRV),并提出改善管控措施和优化交通设施设计等引导骑行者健康安全骑行的建议。结果表明:电动自行车逆行数量大,而自行车逆行率高;逆行时骑行者的行驶速度和HRV降低、心率升高,造成交感神经张力增加,不利于骑行者健康及交通安全。 The safety physiology characteristics of bicyclists on reverse riding conditions were studied for the purpose of reducing the influences of reverse riding on traffic flow and health condition of bicyclists,and improving roadway safety. High-resolution video cameras were utilized to obtain the proportion of reverse riding vehicles at three arteries' cross sections in Xi'an. The fitness wristband and cellphone were utilized to measure the riding speed and heart rate of the bicyclists. The time-domain theory was applied to compare the HRV characteristics between common and reverse riding. Corresponding improvements on reverse riding,including appropriate traffic management and control measures and the optimization of traffic facilities,were also provided to lead healthy and safe riding. The results indicate that there are more electrical reverse riding bicycles,however the traditional bicycle has a larger proportion of reverse riding.Reverse riding will lead to lower riding speed,higher heart rate and lower HRV,which may cause the sympathetic nerve hypertonia and be harmful to bicyclists.
出处 《中国安全科学学报》 CAS CSCD 北大核心 2017年第9期14-19,共6页 China Safety Science Journal
基金 国家自然科学基金资助(51408049) 中国博士后科学基金资助(2016M590914) 陕西省博士后科研项目资助(2016BSHEDZZ134) 中央高校基本科研业务经费专项资金项目资助(310821161011)
关键词 安全生理学 非机动车骑行者 逆向骑行 心率变异性(HRV) 骑行车速 safety physiology bicyclists reverse riding heart rate variability (HRV) riding speed
  • 相关文献

参考文献4

二级参考文献39

  • 1张晋,王慧,李平.基于元胞自动机(CA)的自行车流建模及仿真[J].公路交通科技,2006,23(1):125-129. 被引量:19
  • 2黄迪,钱大琳,赵春龙.平交口右转机动车穿越直行自行车行为研究[J].北京交通大学学报,2006,30(3):23-26. 被引量:11
  • 3Wegmana F, Zhang F , Dijkstra A . How to make more cycling good for road safety[J]. Accident Analysis and Preven- tion, 2012, 44: 19-29.
  • 4Autey J , Sayed 7F , "Zaki M H'. Safety evaluation of right-turn smart channels using automated traffic conflict analysis[J]. Accident Analysis and Prevention, 2012, 45 : 120 - 130.
  • 5Minikel E. Cyclist safety on bicycle boulevards and parallel arterial routes in Berkeley, California[J]. Accident Analysis and Prevention, 2012, 45 : 241 - 247.
  • 6Nagel K,Schreckenberg M.A Cellular Automaton Model for Freeway Traffic[J].Journal de physique I (SI155-4304),1992,2(12):2221-2229.
  • 7Barlovic R,Santen L,Schadscheider A.Metastable States in Cellular Automata for Traffic Flow[J].The European Physical Journal B(S1434-6208),1998,5(3):973-800.
  • 8Rickert M,Nagel K,Schreckenberg M,et al.Two Lane Traffic Simulations Using Cellular Automata[J].Physica A:Statistical Mechanics and Its Applications (S0378-4371),1996,231(4):534-550.
  • 9Li XQ Jia B,Gao ZY,et al.A Realistic Two-Lane Cellular Automata Traffic Model Considering Aggressive Lane-Changing Behavior of Fast Vehicle[J].Physica A:Statistical Mechanics and its Applications(S0378-4371),2006,367(15):479-486.
  • 10Zhang S,Ren G,Yang R.Simulation Model Of Speed-Density Characteristics for Mixed Bicycle Flow-Comparison between Cellular Automata Model and Gas Dynamics Model[J].Physica A:Statistical Mechanics and Its Applications(S0378-4371),2013,392(20):5110-5118.

共引文献56

同被引文献68

引证文献10

二级引证文献20

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部