| 基于因子分析与熵值法的不同隧道侧向宽度下驾驶负荷模型 |
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| 引用本文： | 阎莹,王虹婷,万利,袁华智,刘革.基于因子分析与熵值法的不同隧道侧向宽度下驾驶负荷模型[J].中国公路学报,2023,36(2):190-202. |
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| 作者姓名： | 阎莹 王虹婷 万利 袁华智 刘革 |
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| 作者单位： | 1. 长安大学 运输工程学院, 陕西 西安 710064;2. 山东省交通规划设计院集团有限公司, 山东 济南 250031;3. 长安大学 汽车运输安全保障技术交通行业重点实验室, 陕西 西安 710064;4. 兰州理工大学 土木工程学院, 甘肃 兰州 730050 |
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| 基金项目： | 国家自然科学基金项目（51978069）；山东省交通科技项目（2019B55-1，2022-kJ-044）；兰州理工大学红柳优秀青年人才支持计划项目；中央高校基本科研业务费专项资金项目（300102342202，300102500102） |
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| 摘 要： | 为探究隧道侧向宽度对驾驶心理及行为的影响机理，采用眼动仪、CAN-OBD测速仪等设备在滨莱高速试验场开展不同侧向宽度场景实车试验，获取30名男性驾驶人在不同侧向宽度场景下生心理及驾驶行为数据；以心率均值、车速差、速度标准差、平均注视持续时间和注视时间标准差为关键变量，建立基于因子分析与熵值法的驾驶负荷量化模型，量化评价不同侧向宽度下驾驶负荷变化规律；基于K-means聚类算法确定不同等级驾驶负荷阈值，结合ROC曲线的分类判别和最大约登指数值，提出隧道侧向宽度临界阈值计算方法。研究结果表明：当设计速度为120 km·h-1时，采用较大的隧道侧向宽度不仅有利于提高运行车速，同时可减小驾驶负荷；相较于左、右侧侧向宽度分别为0.75 m和1.25 m的标准断面设计尺寸，隧道左、右侧侧向宽度增加至1.00 m和1.50 m时，小型车和大型车驾驶人运行车速分别提升4.5%和3.6%,驾驶负荷分别减小31%和29%;不同侧向宽度下驾驶负荷低、中、高3个等级对应的阈值为0.23和0.42,隧道左侧最佳侧向宽度阈值为0.75～1.00 m,右侧最佳侧向宽度阈值为1.25～1.50 ...
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| 关 键 词： | 交通工程 交通安全 隧道侧向宽度 驾驶负荷 因子分析 聚类算法 |
| 收稿时间： | 2022-04-10 |
Driver Load Model Under Different Tunnel Lateral Widths Based on Factor Analysis and Entropy Method |
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| YAN Ying,WANG Hong-ting,WAN Li,YUAN Hua-zhi,LIU Ge.Driver Load Model Under Different Tunnel Lateral Widths Based on Factor Analysis and Entropy Method[J].China Journal of Highway and Transport,2023,36(2):190-202. |
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| Authors: | YAN Ying WANG Hong-ting WAN Li YUAN Hua-zhi LIU Ge |
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| Affiliation: | 1. College of Transportation Engineering, Chang'an University, Xi'an 710064, Shaanxi, China;2. Shandong Transportation Planning and Design Institute Group Co. Ltd., Jinan 250031, Shandong, China;3. Key Laboratory of Automotive Transportation Safety Technology, Ministry of Transport, Chang'an University, Xi'an 710064, Shaanxi, China;4. School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, Gansu, China |
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| Abstract: | To investigate the mechanism by which the tunnel lateral width affects driving psychology and behavior, an eye tracker, CAN-OBD velocimeter, and other instruments were used to perform actual vehicle tests for different lateral width scenes at the Binlai Expressway Test Ground. The data of 30 male drivers' psychological and driving behaviors in different lateral width scenes were obtained. The key variables are the mean heart rate, vehicle speed difference, standard deviation of speed, average fixation duration, and standard deviation of fixation time. A quantitative model of driving load based on factor analysis and the entropy method was established to quantitatively evaluate the change rule of driving load under different lateral widths. The threshold values of driving load at different levels were determined based on the K-means clustering algorithm. Combining the classification of the ROC curve and the value of the maximum Jordan index, a method for calculating the critical threshold value of the tunnel lateral width is proposed. The results show that when the design speed is 120 km·h-1, a larger lateral width of the tunnel is not only conducive to increasing the operating speed, but can also reduce the driving load. Compared with the standard section dimensions of 0.75 and 1.25 m for the left and right side widths, respectively, when the left and right side widths of the tunnel are increased to 1.00 and 1.50 m, respectively, the driving speed of small and large vehicle drivers increases by 4.5% and 3.6% respectively, and the driving load decreases by 31% and 29%, respectively. The threshold values of low, medium, and high driving loads under different lateral widths are 0.23 and 0.42, respectively. The optimum lateral width thresholds on the left and right sides of the tunnel are 0.75-1.00 m and 1.25-1.50 m, respectively. The results of this study can provide technical support for highway tunnel cross-section design and ensure a safe and efficient operation. |
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| Keywords: | traffic engineering traffic safety tunnel lateral width driving load factor analysis clustering algorithm |
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