Abstract: Drivers get busy in secondary tasks, such as making phone calls, adjusting radio systems,
which divert the attention of driver from primary task of driving. Literature studies showed
that the external and internal conditions are the main distracting factors for driving. To
ensure the driver’s safety while performing secondary tasks during drive, different workload
management systems are proposed. Zonal Adaptive Workload Management System is one
of those systems which is proposed by Chen and Jordan [1], the level of allowance of driver’s
secondary task performance depends on the zonal division that takes external traffic
conditions, weather and lighting etc into consideration during driving. The review of the
literature is to build up the theoretical and data support to zonal division. The statistical
analysis of our experiments shows that the average workload rating of images and video
clips of different driving situations were almost the same and the participants were not
consistent in rating the same driving situation. It has been analyzed that workload rating
increases when the weather conditions are raining or snowing, making the road condition
wet or freezing, for conditions like raining at night and heavy snow weather conditions the
workload rating is the maximum. Bad weather conditions at night like snowing and raining in
the subjective questionnaire are rated very high in workload by most of the participants. The
average workload ratings provided by the female participants are higher as compared to the
ratings provided by the male participants.
Publication Year: 2010
Publication Date: 2010-01-01
Language: en
Type: dissertation
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