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汽车安全与节能学报 ›› 2023, Vol. 14 ›› Issue (1): 62-68.DOI: 10.3969/j.issn.1674-8484.2023.01.008

• 智能驾驶与智慧交通 • 上一篇    下一篇

高级辅助驾驶系统主动安全性评价方法

王银亭(), 吴长水*()   

  1. 上海工程技术大学 机械与汽车工程学院,上海201600,中国
  • 收稿日期:2022-07-12 修回日期:2022-11-04 出版日期:2023-02-28 发布日期:2023-03-07
  • 通讯作者: 吴长水
  • 作者简介:*吴长水(1978—),男(汉),福建,副教授。E-mail:wuchangshui@sues.edu.cn
    王银亭(1997—),男(汉),山东,硕士研究生。E-mail:528361503@qq.com

Active safety evaluation method of advanced driving assistance systems

WANG Yinting(), WU Changshui*()   

  1. School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
  • Received:2022-07-12 Revised:2022-11-04 Online:2023-02-28 Published:2023-03-07
  • Contact: WU Changshui

摘要:

为满足高级辅助驾驶系统主动安全性的多方面评价需求,该文提出了一种基于裕度与不确定性量化(QMU)的高级辅助驾驶系统主动安全性评价方法。结合QMU基本工作原理制定了适用于高级辅助驾驶系统主动安全性的评价体系及评价流程,利用序关系分析法(G1)确定评价指标的权重系数,使用模糊综合评价方法得到综合评价结果;在封闭测试场地对高级辅助驾驶系统的自动紧急制动(AEB)功能进行测试评价。结果表明:测试车车速、加速度、与目标车的距离、方向盘转角速度的评价结果分别为3.660 1、2.670 4、1.767 8、1.819 2,综合结果为2.702;该评价方法弥补了单指标评价结果横向对比的缺失,客观地量化了高级辅助驾驶系统主动安全性的纵向评价结果。

关键词: 主动安全, 高级辅助驾驶, 评价方法, 裕度与不确定性(QMU)

Abstract:

An method of active safety of advanced driver assistance systems was established to meet the advanced driver assistance systems(ADAS) needs of the active safety of autonomous vehicles based on quantification of margins and uncertainties (QMU), The evaluation system and process applicable to the active safety of autonomous vehicles were developed by combining the basic principle of QMU, using the order relation analysis (G1) methods to determine the weighting factors of the evaluating indicator, and using the fuzzy comprehensive evaluation method to derive the comprehensive evaluation results. The autonomous emergency braking (AEB) function of an automatic vehicle was tested and evaluated in the closed test site. The results show that the evaluation results of the test car speed, acceleration, distance from the target car and steering wheel corner speed are 1.347 3, 6.398 1, 1.079 3 and 1.462 4, and the comprehensive result is 2.783 4, indicating that the proposed evaluation method makes up for the lack of horizontal comparison of single-indicator evaluation results and objectively quantifies the longitudinal evaluation results of active safety of autonomous driving systems.

Key words: active safety, advanced driver assistance systems (ADAS), evaluation method, quantification of margins and uncertainties (QMU)

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