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基于轨迹数据的高速公路小客车异常驾驶行为

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为了分析不同异常驾驶行为带来的事故可能性与风险性,量化不同驾驶行为下加减速度的阈值大小,基于车辆的轨迹数据分析了速度与加速度的交互关系。采用回归的方式对速度与加速度的函数关系进行标定,构建了异常驾驶行为的数学判断模型。结果表明,在对应的速度区间内,加速度均值与1倍标准差的和可以作为一般异常行为判断阈值,此范围驾驶员存在产生风险的可能性;加速度均值与2倍标准差的和可以作为极端异常行为的判断阈值,此范围驾驶员已存在一定的风险,需要进行特定的管控。该模型克服了以往采用固定阈值的要求,能够实现实时动态的监控,为微观驾驶行为的研究提供了新方法。
Abnormal driving behavior thresholds of highway minibuses based on trajectory data
In order to analyze the possibility and riskiness of accidents caused by different abnormal driving behaviors,quantify the threshold size of acceleration and deceleration under different driving behaviors.Based on the trajectory data of the vehicle,the interaction relationship between speed and acceleration was analyzed,and the function relationship between speed and acceleration was calibrated using regression,and finally the judgment model of different abnormal behaviors was constructed.The results show that the sum of the mean acceleration and 1 times the standard deviation can be used as the general abnormal behavior judgment threshold,in this range drivers have the potential to create risk and need to be reasonably alerted;The sum of the mean value of acceleration and 2 times the standard deviation can be used as the threshold for judging extreme abnormal behavior,in this range of drivers already has some risk and requires some control.The model overcomes the previous requirement of using fixed thresholds and allows for real-time dynamic monitoring of driving behavior,providing a new approach to the study of microscopic driving behavior.

traffic engineeringabnormal driving behaviortrajectory datavelocity-accelerationparameter calibration

周荣贵、高沛、李雨璇、周建

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交通运输部公路科学研究院 公路交通安全技术交通行业重点实验室,北京 100088

交通工程 异常驾驶行为 轨迹数据 速度-加速度 参数标定

国家重点研发计划项目交通运输部公路科学研究所(院)交通强国试点项目

2021YFC3001502QG2021-3-12-1

2024

吉林大学学报(工学版)
吉林大学

吉林大学学报(工学版)

CSTPCD北大核心
影响因子:0.792
ISSN:1671-5497
年,卷(期):2024.54(9)