摘要
为提高高级车辆事故自动呼救(AACN)系统的抗干扰性和事故信息的准确性,对AACN系统的门槛阈值设定进行了研究。首先,选取统计的交通事故数据进行影响因素分析,得到速度变化量对驾驶员伤情的影响较大的结论,同时建立驾驶员伤情预测模型;然后,对台车碰撞加速度数据进行处理得到不同门槛阈值下的速度变化量,分析其对驾驶员伤情预测的影响;最后,提出考虑伤情等级补偿的AACN系统触发算法。结果表明:AACN系统门槛阈值影响对驾驶员伤情的预测,通过补偿算法,可以有效提高AACN系统伤情等级预测的准确性。
In order to improve the anti-interference ability and the accuracy of Advanced Automatic Crash Notification(AACN) system, the setting of discrimination threshold of AACN system is studied. Firstly, amount of traffic accident data are selected to analyze influencing factors, which conclude that velocity variation influences greatly driver’s injury. At the same time, an injury prediction model for the driver is established. Secondly, the velocity variation under different discrimination threshold is obtained by processing the trolley crash acceleration data, its influence on the injury prediction for the driver is analyzed. Finally, a triggering algorithm for AACN system involving compensating injury scale is presented. The results show that threshold of AACN system has an effect on the prediction of driver’s injury and the compensation algorithm can effectively improve the accuracy of injury scale prediction of AACN system.
作者
陆颖
殷越洲
叶恒毅
Lu Ying;Yin Yuezhou;Ye Hengyi(Jiangsu University,Zhenjiang 212013)
出处
《汽车技术》
CSCD
北大核心
2020年第3期5-9,共5页
Automobile Technology
基金
国家自然科学基金项目（51605197）
江苏省自然科学基金项目（BK20160524）
中国博士后科学基金面上项目（2015M571691）
