The invention provides a sound-light early warning interaction method considering the influence of a driving style, and the method comprises the steps: employing a K-means clustering recognition algorithm to calibrate the driving style to be a conservative type, a normal type and a radical type based on the electromyographic signal of a driver and a vehicle signal in a simulated driving environment, and carrying out the scoring of the driving safety through combining an entropy weight method and a TOPSIS method. According to the method, the credibility and the acceptability of a driver on an early warning strategy are obtained through bidirectional MANCOVA analysis, parameters of a sound-light early warning strategy are adjusted based on the credibility and the acceptability, finally experimental verification is carried out, and the result shows that the sound-light early warning strategy considering the driving style can effectively improve the driving safety of drivers of different styles.
本发明提供了一种考虑驾驶风格影响的声‑光预警交互方法,该方法基于模拟驾驶环境下驾驶员的肌电信号和车辆信号,采用K‑means聚类识别算法将驾驶风格标定为保守型、正常型和激进型,结合熵权法和TOPSIS法对驾驶安全性进行评分。通过双向MANCOVA分析得到驾驶员对预警策略的信任度和接受度,基于信任度和接受度对于声‑光预警策略的参数进行调整,最后进行实验验证,结果表明:考虑驾驶风格的声‑光预警策略可以有效提升不同风格驾驶员驾驶安全性。
Sound-light early warning interaction method considering driving style influence
一种考虑驾驶风格影响的声-光预警交互方法
2025-02-14
Patent
Electronic Resource
Chinese
A Lane-Changing Safety Warning Model Considering Driving Style Characteristics
Springer Verlag | 2025
|Driving risk intelligent early warning method, system and equipment considering vehicle interaction
European Patent Office | 2024
|Driving early warning method and driving early warning system
European Patent Office | 2024
|European Patent Office | 2024
|