The invention provides an online car-hailing safety monitoring and early warning method and system, and relates to the technical field of online car-hailing driving safety, and the method specifically comprises the steps: S1, collecting the state parameters of the eyes of a driver and the posture parameters of the head of the driver at a moment t, the state parameters comprise the eye closing frequency and the pupil change rate, and the posture parameters comprise the eye closing frequency and the pupil change rate; the posture parameters comprise the head swing frequency and the inclination angle variation of the head; and S2, performing dimensionless processing on the eye closing frequency and the pupil change rate, performing correlation analysis, generating a state coefficient of the eyes of the driver, and performing dimensionless processing on the head swinging frequency and the head inclination angle variation. According to the invention, by collecting and processing the related parameters representing the fatigue driving of the driver, the measurement accuracy of the fatigue of the online car-hailing driver and the precision of the safety monitoring and early warning system of the online car-hailing can be improved, and meanwhile, the misinformation of the monitoring and early warning system caused by individual physiological reasons and moods or single collected data is effectively avoided.
本发明提供一种网约车的安全监控预警方法及系统,涉及网约车驾驶安全技术领域,具体步骤包括:S1.采集t时刻内驾驶员眼睛的状态参数和驾驶员头部的姿势参数,所述状态参数包括闭眼的频率和瞳孔变化率,所述姿势参数包括头部摆动频率和头部的倾斜角度变化量;S2.将所述闭眼的频率和瞳孔变化率进行无量纲化处理,并进行相关性分析,生成驾驶员眼睛的状态系数,将所述头部摆动频率和头部倾斜的角度变化量进行无量纲化处理。本发明通过采集并处理表征驾驶员疲劳驾驶的相关参数,可以提高网约车驾驶员疲劳的测定准度,以及网约车的安全监控预警系统的精度,同时有效避免因个人生理原因和情绪或采集的数据单一导致监控预警系统的误报。
Safety monitoring and early warning method and system for online car-hailing
一种网约车的安全监控预警方法及系统
2024-04-16
Patent
Elektronische Ressource
Chinesisch
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