Study of road crash patterns in the national capital territory-Delhi
Student name: Mr Amritesh Singh
Guide: Dr Nithiyanandam Yogeswaran
Year of completion: 2016
Host Organisation: CSIR- Central Road Research Institute (CRRI), New Delhi
Supervisor (Host Organisation): Dr A. Mohan Rao
Abstract: In some countries where the economies are weak, it becomes crucial for
those concerned with developmental policies to adopt approaches which will
ensure that every single cent available is used to develop the country. Road
traffic crashes have been recognized as one of those adverse elements which
contribute to the suffocation of economic growth in the developing countries,
due to the high cost related to them, hence causing social and economic concern .
So, Traffic safety is an important key and integral role in sustainable
transportation development areas. Now days, the main negative impact of
modern road transportation systems are injuries and deaths in road crashes.
Therefore, black spot identification proves to be of extreme significance. By
definition, black spot is an area which has higher crash rates in respect to the
surrounding areas. By identifying black spots, authorities can help save lives of
many apart from the damage to government and private property.
For this study, kernel density has been used to identify black
spots. Kernel density is a method to calculate magnitude-per-unit area from point
or polyline features using kernel function to fit a smoothly tapered surface to
each point or polyline. Only the points or portions of a line that fall within the
neighbourhood (defined by a user given search radius) are considered in
calculating density.
After applying kernel density, black spots were identified. After
careful considerations of all the black spots-13 in total, few were looked closely
for possible causes. After working to fin the possible causes, solutions for the
mitigation were pondered upon.
Key words: GIS, Kernel Density, Black spot, Fatal crashes.
