基于博弈论云物元的地下环道出入口视觉负荷研究

doi:10.16097/j.cnki.1009-6744.2025.01.032

交通运输系统工程与信息 ›› 2025, Vol. 25 ›› Issue (1): 345-354.DOI: 10.16097/j.cnki.1009-6744.2025.01.032

• 工程应用与案例分析 • 上一篇

基于博弈论云物元的地下环道出入口视觉负荷研究

尚婷^*1a,1b，胥浩^1c，梁叶²，周翱^1a

1. 重庆交通大学，a.交通运输学院，b.智能综合立体交通重庆市重点实验室，c.土木工程学院，重庆400074；2. 中国葛洲坝集团国际工程有限公司，北京100025

收稿日期:2024-09-23 修回日期:2024-12-07 接受日期:2024-12-14 出版日期:2025-02-25 发布日期:2025-02-24
作者简介:尚婷(1983—)，女，重庆人，副教授，博士。
基金资助:
重庆市自然科学基金(CSTB2023NSCQ-MSX0742)；教育部青年人文社会科学研究青年基金(22YJCZH143)；重庆市技术创新与应用发展专项重点项目(CSTB2022TIAD-KPX0123)。

Visual Load Analysis of Underground Ring Road Junctions Using Game Theoretic Cloud Object Elements

SHANG Ting^*1a,1b, XU Hao^1c, LIANG Ye², ZHOU Ao^1a

1a. School of Traffic & Transportation, 1b. Chongqing Key Laboratory of Intelligent Integrated and Multidimensional Transportation System, 1c. School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China; 2. China Gezhouba Group International Engineering Co Ltd, Beijing 100025, China

Received:2024-09-23 Revised:2024-12-07 Accepted:2024-12-14 Online:2025-02-25 Published:2025-02-24
Supported by:
Natural Science Foundation of Chongqing (CSTB2023NSCQ-MSX0742)；Youth Foundation for Humanities and Social Science Research of Ministry of Education(22YJCZH143)；Chongqing Municipal Special Key Project for Technological Innovationand Application Development (CSTB2022TIAD-KPX0123)。

摘要/Abstract

摘要： 为探究地下环道出入口驾驶人视觉负荷特性，组织实车试验。在解放碑地下环道，选取出入口数量相等的4个路段并依次命名为L0~L3，利用TobiiGlasses2眼动仪获取驾驶人视觉行为特性数据。以交通标志速率信息密度、平均注视持续时间、平均眨眼频率，以及瞳孔面积变化速率为评价指标，基于博弈论组合赋权与云物元构建视觉负荷评价模型，探究地下环道出入口驾驶人视觉负荷特性变化规律。研究表明：交通标志速率信息密度与平均注视持续时间的组合权重相对较高，依次占31%和35%；平均眨眼频率与瞳孔面积变化速率综合权重较低，分别占16%和18%；驾驶人视觉负荷等级由L0~L3依次表现为低负荷到高负荷的增长趋势；交通标志速率信息密度的指标关联度呈现明显由低负荷向高负荷移动的趋势，其余指标的移动趋势不明显。评价指标灵敏度排序从高到低依次为：交通标志速率信息密度，平均注视持续时间，瞳孔面积变化速率，平均眨眼频率。建议采取提前预告道路信息或减少视觉刺激等方法降低驾驶人视觉负荷，可尝试采取交通标志设置距离增大和降低重复指路标志设置等方法。

关键词: 交通工程, 驾驶人视觉负荷, 云物元, 地下环道, 博弈论, 实车试验

Abstract: To investigate the visual load characteristics of the drivers at the entrances and exits of an underground ring road, this study conducted a real-vehicle test and selected four sections, each with equal numbers of entrances and exits in the underground ring road of Jiefangbei. The sections were named as L0 to L3 and Tobii Glasses2 eye-tracking device was used to obtain the data of the visual behavior characteristics of the drivers. Utilizing traffic sign rate information density, average gaze duration, average blinking frequency, and pupil area change rate as evaluation indicators, a visual load evaluation model is constructed based on game theory combination assignment and cloud object elements to investigate the change rule of visual load characteristics of drivers at the entrances and exits of the underground ring road. This study shows that: the combined weights of traffic sign rate information density and average gaze duration are relatively significant, accounting for 31% and 35% , respectively, and the combined weights of average blinking frequency and pupil area change rate are lower, accounting for 16% and 18%, respectively. The visual load level of the drivers increases progressively from L0 to L3, shows the growth trend from low to high load. The correlation of the indexes for the traffic sign rate information density indicator demonstrates a clear trend from low to high load, whereas the other indicators show less an inconspicuous trend. In terms of sensitivity, the evaluation indicators rank as follows:traffic sign rate information density>average gaze duration>pupil area change rate>average blinking frequency. To reduce drivers' visual load, it is recommended to provide advance notice of road information or minimize visual stimuli. Possible measures include increasing the distance between traffic signs and reducing the repetition of directional signage.

Key words: traffic engineering, driver visual load, cloud object metrics, underground ring roads, game theory, real-vehicle test

中图分类号:

U491

尚婷, 胥浩, 梁叶, 周翱. 基于博弈论云物元的地下环道出入口视觉负荷研究[J]. 交通运输系统工程与信息, 2025, 25(1): 345-354.

SHANG Ting, XU Hao, LIANG Ye, ZHOU Ao. Visual Load Analysis of Underground Ring Road Junctions Using Game Theoretic Cloud Object Elements[J]. Journal of Transportation Systems Engineering and Information Technology, 2025, 25(1): 345-354.

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基于博弈论云物元的地下环道出入口视觉负荷研究

Visual Load Analysis of Underground Ring Road Junctions Using Game Theoretic Cloud Object Elements

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