基于操纵量指标的合流区危险驾驶行为谱研究

doi:10.16097/j.cnki.1009-6744.2023.02.026

交通运输系统工程与信息 ›› 2023, Vol. 23 ›› Issue (2): 242-251.DOI: 10.16097/j.cnki.1009-6744.2023.02.026

基于操纵量指标的合流区危险驾驶行为谱研究

刘唐志^*1a，毕辉云^1b，杨卓思^1b，夏号杰²，尚婷^1a

1. 重庆交通大学，a. 交通运输学院，b. 土木工程学院，重庆 400074；2. 重庆万利万达高速公路有限公司，重庆 401121

收稿日期:2022-10-21 修回日期:2022-12-28 接受日期:2023-01-16 出版日期:2023-04-25 发布日期:2023-04-19
作者简介:刘唐志(1976- )，男，江西吉安人，教授，博士
基金资助:
国家自然科学基金(52172341)；重庆市自然科学基金(2022NSCQ-MSX1041)

Dangerous Driving Behavior Spectrum in Merging Area Based on Maneuver Indicators

LIU Tang-zhi^*1a, BI Hui-yun^1b, YANG Zhuo-si^1b, XIA Hao-jie², SHANG Ting^1a

1a. College of Traffic and Transportation, 1b. College of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China; 2. Chongqing Wanliwanda Expressway Company Limited, Chongqing 401121, China

Received:2022-10-21 Revised:2022-12-28 Accepted:2023-01-16 Online:2023-04-25 Published:2023-04-19
Supported by:
National Natural Science Foundation of China (52172341)；Program of Natural Science Foundation of Chongqing, China (2022NSCQ-MSX1041)

摘要/Abstract

摘要： 公路立交合流区交通环境复杂，交织比例和换道频次高，危险系数大。为描述合流场景下危险驾驶行为的主要表现形式，同时，量化其危险程度，提出操纵量指标表征立交合流区危险驾驶行为，构建基于车辆轨迹数据特征参数的驾驶行为谱；运用风险度量法量化4种危险驾驶行为，即急打方向、猛踩踏板、危险跟驰和危险换道。结合四分位差法和 CRITIC(Criteria Importance Though Intercrieria Correlation)法确定危险驾驶行为特征参数阈值和权重，并综合计算危险驾驶行为谱特征值；结合危险点空间分布及相关研究验证操纵量指标的有效性。研究结果表明：4种危险驾驶行为相关系数均小于0.2，不存在共线性；4种危险驾驶行为中，急打方向权重占比最高，为0.405，对合流区行车安全影响最大；操纵量指标危险点空间分布与现有研究合流区交通冲突点吻合。上述结果证明：采用操纵量指标建立的危险驾驶行为谱可以客观实时的结合车辆轨迹数据辨识合流区危险驾驶人，为公路立交合流区主动安全防控提供依据。

关键词: 交通工程, 驾驶行为谱, 风险度量, 轨迹数据, 公路合流区

Abstract: The traffic environment in the highway interchange merge area is complicated, with a high interweaving ratio and high frequency of lane changing, and high risk coefficient. To quantitatively describe the main driving behavior in the merging area and their degree, this paper proposes a maneuver indicator to characterize dangerous driving behaviors in interchange merging areas and develops a driving behavior spectrum based on the characteristic parameters of vehicle trajectory data. Four kinds of dangerous driving behaviors are quantified by using the risk measure method, including acute direction, stomp pedal, dangerous following, and dangerous lane changing. Quartile deviation and criteria importance though intercrieria correlation (CRITIC) is used to determine the threshold values of dangerous driving behavior characteristics and weights, and calculate the characteristic values of drivers' dangerous driving behavior spectrum. Combined with the spatial distribution of dangerous points and related research, the effectiveness of the maneuver indicator is verified. The results of the study showed that the correlation coefficients of the four risky driving behaviors were all less than 0.2 and there was no collinearity. Among the four dangerous driving behaviors, the highest weighting of 0.405 is given to acute direction, which has the greatest impact on driving safety in merging area. The spatial distribution of maneuvering volume index hazard points is consistent with existing studies of traffic conflicts in merging areas. The above results prove that the dangerous driving behavior spectrum established using the maneuver indicators can identify the dangerous drivers in the merging area in real time combined with the vehicle trajectory data, and provide a reference basis for active safety prevention and control in the highway interchange merge area.

Key words: traffic engineering, driving behavior spectrum, measurement of risk, trajectory data, highway merging area

中图分类号:

U491.25

刘唐志, 毕辉云, 杨卓思, 夏号杰, 尚婷. 基于操纵量指标的合流区危险驾驶行为谱研究[J]. 交通运输系统工程与信息, 2023, 23(2): 242-251.

LIU Tang-zhi, BI Hui-yun, YANG Zhuo-si, XIA Hao-jie, SHANG Ting. Dangerous Driving Behavior Spectrum in Merging Area Based on Maneuver Indicators[J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(2): 242-251.

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http://www.tseit.org.cn/CN/Y2023/V23/I2/242

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基于操纵量指标的合流区危险驾驶行为谱研究

Dangerous Driving Behavior Spectrum in Merging Area Based on Maneuver Indicators

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