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Journal Article

Citation

El Gindy M, Dababneh L, Sharaf AM. Int. J. Veh. Syst. Model. Test. 2016; 11(3): 193-216.

Copyright

(Copyright © 2016, Inderscience Publishers)

DOI

10.1504/IJVSMT.2016.10001776

PMID

unavailable

Abstract

This paper presents a non-intrusive algorithm for monitoring and predicting driver vigilance in real time. The proposed technique is applied to a truck driving simulator by monitoring the driver response through steering wheel and accelerator pedal. The simulation results of the truck simulator are validated with a commercial TruckSimĀ® software using identical parameters of a given tractor semitrailer during similar driving conditions. Several distraction indicators are proposed in order to predict the driver distraction, namely the jerk profile, spikiness index and the rate of change for both the steering wheel angle and the accelerator pedal position. The results of several driving experiments emphasise the effectiveness of using steering wheel rate to estimate driver distraction. Moreover, in comparison to other techniques for predicting driver vigilance, the presented work requires low computational power and has a great potential for developing a real-time simple system that can be affordable and reliable.


Keywords: driver vigilance; driver distraction; distraction prediction; vigilance monitoring; driver alert systems; crash avoidance; collision avoidance; real-time monitoring; non-intrusive monitoring; truck driving simulation; driver response; steering wheel; accelerator pedal; tractor semitrailer; jerk profile; spikiness index; change rate.


Language: en

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