| 引用本文: | 黄秋菊,冯树民,张宇,赵琥.自然驾驶工况下驾驶人脚操纵行为规律[J].哈尔滨工业大学学报,2021,53(3):11.DOI:10.11918/202007028 |
| HUANG Qiuju,FENG Shumin,ZHANG Yu,ZHAO Hu.Driver’s foot manipulating behaviors under natural driving conditions[J].Journal of Harbin Institute of Technology,2021,53(3):11.DOI:10.11918/202007028 |
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| 摘要: |
| 为给先进驾驶辅助系统（ADAS）及无人驾驶技术研发提供理论支持,对中国城市道路驾驶人自然驾驶状态下脚操纵行为规律统计和建模分析. 采用动态的脑电变化率EEGδ、心率变化率Hδ、肌电变化率EMGδ来反映驾驶人生理状态的瞬变性和累积性,拟合得出驾驶人脚操纵过程中加速踏板力、制动踏板力随主要生理指标变化的关系,即驾驶人脚操纵行为模型. 通过模型证实了驾驶人脚操纵行为中加速踏板力、制动踏板力与驾驶人3项主要生理指标的相关性；同时统计了驾驶人踏板踩踏频率一般规律. 研究结果表明:城市道路驾驶人在脚操纵过程中更愿意通过制动力来实现对车速的控制. 脚操纵过程中加速踏板力和制动踏板力与驾驶人EEGδ、Hδ、EMGδ均呈正相关；不同驾龄、性别、年龄驾驶人踏板踩踏频率呈现出明显的规律性. 模型可用于基于驾驶操控行为的驾驶辅助系统研发、模拟驾驶人操控行为和规律的自动驾驶技术研究以及基于驾驶人操控规律的智能汽车技术设计等. |
| 关键词: 交通工程 脚操纵行为规律 实车驾驶实验 脚操纵行为 驾驶行为 踏板操纵 |
| DOI：10.11918/202007028 |
| 分类号:U491 |
| 文献标识码:A |
| 基金项目:国家重点研发计划(2017YFC0803901)。 |
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| Driver’s foot manipulating behaviors under natural driving conditions |
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HUANG Qiuju1,2,FENG Shumin1,ZHANG Yu2,ZHAO Hu1
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(1. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China; 2. School of Automobile, Harbin Vocational and Technical College, Harbin 150081, China)
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| Abstract: |
| To provide theoretical reference for the research and development of advanced driving assistance system (ADAS) and unmanned driving technology, the statistics of foot manipulating behaviors of urban road drivers in China under natural driving conditions were obtained and modeling analysis was carried out. Based on the data, the dynamic EEG change rate (EEGδ), heart rate change rate (Hδ), and EMG change rate (EMGδ) were used to reflect the transient and cumulative characteristics of driver’s physiological states. The relations between the driver’s accelerator pedal force and brake pedal force with main physiological indexes were fitted, which is the driver’s foot manipulation behavior model. The model verifies the correlation between accelerator pedal force, brake pedal force, and main physiological indexes during driver’s foot manipulation. The rules of pedal trampling frequency in natural driving conditions were statistically analyzed. Results show that urban road drivers preferred to control speed through braking force. The accelerator pedal force and brake pedal force were positively correlated with indexes EEGδ, Hδ, and EMGδ. The pedal trampling frequency had obvious relations with different driving years, genders, and ages. The model can be applied for the development of driving assistance system, simulation of driver’s manipulating behaviors, and research of automatic driving technology based on driver control behaviors, as well as the design of intelligent vehicle technology on the basis of driver’s manipulating rules. |
| Key words: traffic engineering foot manipulation rules vehicle driving test foot manipulation driving behavior pedal control |
