%0 Journal Article
	%A Jayanth Jacob and  C. V. Hariharakrishnan and  Suganthi L.
	%D 2008
	%J International Journal of Humanities and Social Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 19, 2008
	%T Fuzzy Clustering of Locations for Degree of Accident Proneness based on Vehicle User Perceptions
	%U https://publications.waset.org/pdf/5026
	%V 19
	%X The rapid urbanization of cities has a bane in the form
road accidents that cause extensive damage to life and limbs. A
number of location based factors are enablers of road accidents in the
city. The speed of travel of vehicles is non-uniform among locations
within a city. In this study, the perception of vehicle users is captured
on a 10-point rating scale regarding the degree of variation in speed
of travel at chosen locations in the city. The average rating is used to
cluster locations using fuzzy c-means clustering and classify them as
low, moderate and high speed of travel locations. The high speed of
travel locations can be classified proactively to ensure that accidents
do not occur due to the speeding of vehicles at such locations. The
advantage of fuzzy c-means clustering is that a location may be a
part of more than one cluster to a varying degree and this gives a
better picture about the location with respect to the characteristic
(speed of travel) being studied.
	%P 714 - 717