考虑自车速度因素的动态前撞预警模型研究
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1.长安大学汽车学院,西安 710064;2.上海汽车集团股份有限公司乘用车公司,上海 201804

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U461.91

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中央高校基本科研业务费(300102220106)资助


Research on dynamic front collision early warning model considering self-vehicle speed
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1. School of Automobile, Chang 'an University, Shaanxi Xi'an , 710064, China; 2. Shanghai Automotive Group Co., Ltd. Passenger Vehicle Company, Shanghai 201804, China

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    摘要:

    为了解决传统固定碰撞时间(time to collision, TTC)阈值预警模型在较高车速工况下容易出现预警不及时等问题,本文提出一种考虑自车速度因素的前撞预警系统。在传统碰撞时间预警模型的基础上,引入速度因子对模型进行优化,形成动态TTC预警模型;利用PreScan/Simulink联合仿真数据对速度因子进行曲线拟合;最后针对前车紧急制动工况,利用PreScan/Simulink软件对传统预警模型与动态TTC预警模型进行对比仿真实验。结果表明:固定TTC阈值预警模型预警成功率为80.28%,而动态TTC预警模型成功率为96.94%,验证了本方法的有效性。 关键词: 防撞预警;模型优化;速度因子;PreScan;Simulink

    Abstract:

    In order to solve the problem that the traditional fixed time to collision (TTC) threshold early warning model is prone to early warning under higher speed conditions, this paper proposes a forward collision warning system that considers the speed of the vehicle. On the basis of the traditional collision time warning model, the speed factor is introduced to optimize the model to form a dynamic TTC warning model; use PreScan/Simulink co-simulation data to curve the speed factor; finally, for the emergency braking condition of the preceding vehicle, use The PreScan/Simulink software performs comparative simulation experiments on the traditional early warning model and the dynamic TTC early warning model. The results show that the early warning success rate of the fixed TTC threshold early warning model is 80.28%, and the success rate of the dynamic TTC early warning model is 96.94%, which verifies the effectiveness of the method.

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林睿,田顺,马浩越,刘晶郁.考虑自车速度因素的动态前撞预警模型研究[J].电子测量技术,2021,44(12):41-45

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  • 在线发布日期: 2024-09-06
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