要为明确高密度互通立交行驶环境下,主线车流量对出入口区段驾驶人精神负荷间的影响,在重庆市内环快速路高密度互通立交群进行自然驾驶实车试验,使用Physiolab生理检测仪连续采集驾驶人在行驶过程中的心电数据,用于统计各驾驶人的心率指标变化情况.本次试验基于主成分分析法选择心率变异率指标RMSSD(root mean square of successive differ-ences)、LFnorm(low frequency norm)、HFnorm(high frequency norm)、LF(low frequency)/HF(high frequency)以及心率突变率指标HRMR(heat ratemutation rate)作为驾驶人精神负荷的评价指标,记为主成分F1和主成分F2,并建立评价模型.结果表明:驾驶人在小净距立交出入口区段行驶时,立交主线车流量的大小会影响驾驶人的精神负荷;当驾驶人驶入立交主线时,三次模型对入口段车流量与主成分F2的拟合效果最好,呈开口向上的三次曲线,曲线谷值点出现在2级流量水平处,模型显著;当驾驶人驶出立交主线时,一次线性模型对出口段车流量与主成分F1的拟合效果最好,模型显著.
Influence of Traffic Flow in the Entrance and Exit Section of High Density Interchange on the Driver's Mental Load
In order to clarify the influence of the main line traffic flow on the driver's mental load in the entrance and exit section under the high-density interchange driving environment.The natural driving real vehicle experiment was carried out in the high density interchange group of inner ring expressway in Chongqing.The Physiolab physiological detector was used to continuously collect the driver's ECG data during driving,which was used to count the changes of the driver's heart rate index.In this experiment,the heart rate variability indices RMSSD(root mean square of successive differences),LFnorm(low frequency norm),HFnorm(high frequency norm),LF(low frequency)/HF(high frequency)and Heart rate mutation rate index HRMR(heat ratemutation rate)were selected as evaluation indicators for driver mental workload using principal component analysis,denoted as principal component F,and principal component F2.The results show that when the driver is driving in the entrance and exit section of the small clear distance interchange,the traffic flow of the main line of the interchange will affect the mental load of the driver.When the driver enters the main line of the interchange,the cubic model has the best fitting effect on the traffic flow at the entrance section and the principal component F2,showing a cubic curve with an upward opening.The valley point of the curve appears at the level 2 traffic flow,and the model is significant.When the driver drives out of the main line of the interchange,the linear model has the best fitting effect on the traffic flow at the exit section and the principal component F1,and the model is significant.
interoperability type interchangehigh-density interchangesmall clear distance entrance and exitheart rate variabilityheat rate mutation ratemental load
万方数据
维普
