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

Xiao Hong
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Abstract

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.
基于生物模型的公交司机疲劳研究
为了提高公共交通驾驶员的疲劳检测能力,采用生物特征建模方法对驾驶员的疲劳进行检测和评价。提出了一种基于生物数学模型分析的公共交通驾驶员疲劳检测模型,并根据疲劳试验模型构建了预防与评价模型。根据公共交通驾驶员的视觉、神经和血供特征,采用描述性统计分析方法,建立了公共交通驾驶员生物疲劳定量递归统计分析的数学模型。将公共交通驾驶员测试问题转化为一个连续时滞非光滑系统的最优解问题。在非光滑自治连续有界条件下,建立了疲劳检测的生物学数学模型。为了准确地预防和监测驾驶疲劳,得到了公共交通驾驶员疲劳试验的延迟相关充分条件。试验结果表明,该模型对公共交通驾驶员疲劳测试具有较好的准确性。根据生物识别测试结果,可以可靠地反映驾驶员是否疲劳,从而进行危险报警,保证驾驶安全。
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