TY  - JOUR
T1  - An Improved Scalable Approach to Detect Black Spots on Roads using DBSCAN Algorithm
AU - Sathish Kumar, R. AU - Lokesh, K. AU - Shankar, V. AU - Arun Kumar, S. 
JO  - Asian Journal of Information Technology
VL  - 20
IS  - 6
SP  - 160
EP  - 167
PY  - 2021
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2021.160.167
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2021.160.167
KW  - GPS
KW  -DBSCAN
KW  -FHC
KW  -FJP
KW  -FCM
KW  -SLINK
KW  -CLINK
AB  - Localization of road accident hotspots where
the number of accidents is above expected supported the
quality values. The user will receive a notification while
it localizes a disease within the encircling with the
assistance of worldwide Positioning System (GPS). We
use DBSCAN method which may be a two-dimensional
coordinate which helps to record the accident location
(Black Spots). On an average, nearly 2,48,000 road
accidents were reported between January and June each
year between 2014 and 2019. Around 53 crashes and loss
of 17 lives are occurring in India every hour. However,
though you’re careful on the roads does not imply that the
opposite drivers also will do an equivalent. There are
several incidences when the drivers aren’t wrong while
driving. There are various methods like strict rules, heavy
fines, use of speed detection devices, etc., are taken for
reducing accidents but still accidents are happening. Folks
that are driving aren’t conscious of spots where an
accident usually happens. Though there are accident zone
signs people while driving with maps won’t see those
signs. To scale back these numbers of accidents, we
proposed a idea of detecting the black spots, especially
surrounding path we travel. However, this idea proposed
for identification of the black spots requires accident data
during an outsized note and since, the knowledge is
time-consuming and casualty-intensive to accumulate. It
are often very beneficial to present this method which
may identify the black spots within a fast time, so on
reduce the fatalities and achieve safe roads for travelling.
ER  -