AbstractAccording to the Malaysian Institute of Road Safety Research (MIROS), over
500,000 car accidents occurred in 2016, making cars an unsafe means of
transportation. This research aimed to collect driver behaviour-related data for
Malaysian drivers to provide useful insights for Malaysian driving profile and to
modulate machine learning for classification tasks. Twenty-one drivers (11 male and
10 female) were studied and compared for their driving style in Lebuhraya Behrang
Stesen-tg malim (11 km per driver). Drivers were asked to drive naturally while
considering their safety. Two analysis techniques were utilized (i.e. Statistical and
Machine Learning-Based). Different conclusions were drawn from each analysis. The
number of driving events for each driver was calculated (i.e. aggressive, normal and
safe) and statistical tests (i.e. Mean, Standard Deviation, Correlation analysis, Oneway
ANOVA and T-test) presented significant differences between each driver from
the same gende.....