INTRODUCTION
There are huge number of accidents which are reported due to sleeping problems and this
may cause death to someone. On the other hand sleep deprivation may cause the driver to face
hazardous impacts. Sleep loss is pervasive occupational hazard among shift worker and gives
various implication in relation to productivity and performance. The current report is associated
with analysing impact of sleep deprivation over human and increasing rate of accidents. Along
with this the report is analysing those cognitive components which are helpful in stimulating
driving performance.
MAIN BODY
Article 1: Cognitive components of simulated driving performance:
Sleep loss effects and predictors
The major aim of this article is to stimulate driving performance of professional and non-
professional drivers. Besides this assistance of neurocognitive tests are obtained in order to align
the same with determining impact of sleep deprivation within driving performance. This research
is important in order to determine the components which are causing drowsy driving. On the
other hand this research is important in order to examine neurocognitive components which are
occurring due to sleep deprivation and affect driving habits of an individual. Various tasks were
executed in this article such as simulated driving task (AusEd), the psychomotor
vigilance test (PVT), and neurocognitive tasks selected from the Cognitive Drug Research
computerised
neurocognitive assessment battery (simple and choice RT, Stroop Task, Digit Symbol
Substitution Task,
and Digit Vigilance Task).
Driving is primarily automatised, although it does involve some
shifts to controlled processing when routine reactions are insufficient to deal with novel or
complex traffic situations. So this can be said that information processing speed is defined as an
important component of driving which may be helpful in dealing with traffic situations. Driving
is a complex task that requires a number of skills. The
driver continuously receives information from the road scene, analyses it, and reacts according
to knowledge of traffic systems, driving

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Impact of Sleep Deprivation on Driving Performance

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