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

Authors: Xiao Hong

Addresses: Career Technical College, Inner Mongolia Agricultural University, Baotou City, Inner Mongolia, 014109, China

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.

Keywords: biological mathematical model; public transport driver; fatigue test; vision; nerve.

DOI: 10.1504/IJBM.2020.105626

International Journal of Biometrics, 2020 Vol.12 No.1, pp.91 - 99

Received: 02 Mar 2019
Accepted: 12 Apr 2019

Published online: 26 Feb 2020 *

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