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A study on the fatigue of bus drivers based on biological models

机译:基于生物模型的公交车司机疲劳研究

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摘要

In order to improve the fatigue detection ability of public transport drivers, the biometric modelling method is used to test and evaluate the fatigue of drivers. A fatigue detection model for public transport drivers is proposed based on biological mathematical model analysis and the prevention and evaluation according to the fatigue test model is constructed. According to the visual, neural and blood supply characteristics of public transport drivers, the mathematical model of quantitative recursive statistical analysis of public transport drivers' biological fatigue is established by using descriptive statistical analysis method. The problem of public transport driver testing is transformed into an optimal solution problem for a continuous time-delay non-smooth system. Under the condition of non-smooth autonomous continuous boundedness, a biologic mathematical model of fatigue detection is constructed. The delay-dependent sufficient conditions of public transport driver fatigue testing are obtained to prevent and monitor driving fatigue accurately. The test results show that the model is accurate for public traffic drivers' fatigue testing. According to the biometric test results, it can reliably reflect whether the driver is tired or not, so that the danger alarm can be carried out and the driving safety can be ensured.
机译:为了提高公共交通驱动器的疲劳检测能力,使用生物识别建模方法来测试和评估司机的疲劳。基于生物学数学模型分析提出了一种疲劳检测模型,建议了根据疲劳试验模型的预防和评估。根据公共交通司机的视觉,神经和血液供给特性,通过使用描述性统计分析方法建立了公共交通司机的定量递归统计分析的数学模型。公共交通驱动程序测试的问题被转换为连续时间延迟非平滑系统的最佳解决问题。在非平滑性自主持续有界性的条件下,构建了疲劳检测的生物学数学模型。获得了公共交通驱动器疲劳测试的延迟依赖性充分条件,以预防和监控驾驶疲劳。测试结果表明,该模型对于公共交通司机的疲劳测试是准确的。根据生物识别测试结果,它可以可靠地反映驾驶员是否疲劳,从而可以进行危险警报并且可以确保驱动安全性。

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