基于相位空间重建方法的电动巴士踏板错误应用检测
Aihong Lyu1, Kunchen Li2, Yali Zhang2
1Vocational and Technical College, Xianyang Normal University, Xianyang 712000, China.
Sensors (Basel, Switzerland)
|September 28, 2023
概括
这项研究引入了一种新型模型,用于检测电动巴士中的踏板误用,这是意外加速度的常见原因. 开发的系统可以准确地识别错误的踏板使用,提高电动巴士的安全性.
科学领域:
- 运输工程 运输工程
- 人工智能的人工智能
- 车辆安全系统 车辆安全系统
背景情况:
- 电动巴士越来越多地被采用,以获得环境效益,取代传统的燃料巴士.
- 涉及电动汽车的事故往往与意外加速度 (UA) 有关,这通常是由于驾驶员踏板的错误操作造成的.
- 现有的安全措施可能无法充分解决与电动巴士踏板误用相关的特定风险.
研究的目的:
- 提出和验证一种用于检测电动巴士脚踏错误应用的模型 (MDPMEB).
- 通过减轻意外加速带来的风险,提高电动巴士运行的安全性和可靠性.
- 开发一个准确和高效的检测系统,用于正常制动与踏板错误应用事件.
主要方法:
- 在受控环境中对城市电动巴士进行了自然驾驶和踏板误用模拟实验.
- 应用基于混沌理论的相位空间重建,将序列踏板数据转换为高维图像数据集.
- 开发了一个修改后的Swin变压器网络,在公共数据集上进行预训练,以提高概括性并防止小样本尺寸过度匹配.
主要成果:
- 拟议的MDPMEB模型证明了准确和快速检测正常的制动和踏板的错误应用.
- 在测试数据集上获得了97.58%的高准确率.
- 在检测准确度方面,超过了传统的机器学习算法 (9.17%) 和卷积神经网络 (4.5%).
结论:
- 在电动巴士中,MDPMEB模型有效地区分了正常制动和踏板错误应用.
- 使用Swin变压器网络与基于混沌理论的数据映射相结合,为踏板误用检测提供了一个强大的解决方案.
- 这项技术有可能显著提高电动巴士运输的安全性.
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