基于HRV量化的高速公路出口匝道区域驾驶负荷特性研究  

Study on the specific driving workload features of highway off-ramp area based on the HRV index quantization

作　　者：吕能超[1,2] 旷权 吴萌 

机构地区：[1]武汉理工大学智能交通系统研究中心,武汉430063 [2]水路公路交通安全控制与装备教育部工程研究中心,武汉430063 [3]武汉理工大学能源与动力工程学院,武汉430063 [4]北京四通智能交通系统集成有限公司,北京100020

出　　处：《安全与环境学报》2015年第4期143-148,共6页Journal of Safety and Environment

基　　金：国家自然科学基金项目(51208401);交通运输部应用基础研究项目(2014319811200);中央高校基本科研业务费专项基金项目(133244003);武汉理工大学自主创新研究基金项目(2014-ND-B1-08)

摘　　要：为提高高速公路主线出口匝道区域的行车安全性,基于HRV指标量化分析该区域的驾驶负荷特性和影响因素。分析了交通标志设计方案对主线出口匝道区域交通安全影响特性。采用HRV指标对驾驶负荷进行量化分析,同时采用不同信息量的交通标志对驾驶负荷进行定量加载,以汉十高速公路沿线匝道区为场景,设计并开展了主线出口匝道区域驾驶负荷的实车道路试验,采集不同试验场景下多个驾驶人的生理指标和驾驶特性。结果表明,交通标志信息量可以作为认知负荷加载的方式。从2 km到500 m到出口位置的预告标志,表征驾驶负荷的HRV指标呈先下降后上升的趋势。驾驶人在通过主线出口匝道区域不同路段时的行驶车速的变化趋势与驾驶负荷强度的变化趋势具有较好的一致性。The paper is entitled to bring about its contributions to the study of the specific driving workload characteristics of highway off-ramp area based on the HRV（ heart rate variability） in-dex in hoping to improve the driving safety from the main road shifting to the off-ramp area through tracing the specific layout of the traffic signs and the influential features. For the said purpose,we have first of all analyzed the driving workload quantitatively based on the HRV index in accordance with the sign information weighting method. As is known,the driving workload used to be assigned quantitatively based on the traffic sign of the different sorts of information or message at different locations. Thus,we would like to accomplish our case study by taking the scene of the off-ramp area with the similar geometric alignment features of the main road along the Wuhan-Shiyan Highway,while the authentic vehicle road test of the driving workloads of the area are being designed and implemented. In doing so,we have adopted the Infiniti ProC omp physiological parameters acquisition device and multiple on-board apparatus to collect the physiological indexes and driving features of the various drivers under different experimental situations-in-situ. The analysis results we have gained indicate that： it is possible to take into account all the traffic sign messages as an approach to identifying the workload. For example,from a sign of a 2 km advance notice to that of a 500 m advanced one,the HRV index that can be used to represent the driving workload has been found decreasing first and increasing next.However,when the drivers pass the corresponding sections of the main raod to the off-ramp area,their change trend of driving speed has been found nicely consistent with the change trend of driving workload strength. Nevertheless,we would like to propose an improvement version in this way attempting to increase the driving safety from the highway main road to the off-ramp area in accordance with our research conclusions,which ca

关 键 词：安全工程 驾驶负荷 交通标志 HRV量化 高速公路匝道区 

分 类 号：X491[环境科学与工程—灾害防治]