Identification of Black Spots on Highway with Kernel Density Estimation Method

Published on February 2016 | Transportation

Identification of Black Spots on Highway with Kernel Density Estimation Method

Authors: Har Amrit Singh Sandhu, Gyanendra Singh, M.S. Sisodiya, Rajiv Chauhan

View Author: Dr. Har Amrit Singh Sandhu

Journal Name: Journal of the Indian Society of Remote Sensing volume

Volume: 44 Issue: 1 Page No: 457-464

Indexing: SCI/SCIE

DOI URL: https://link.springer.com/article/10.1007%2Fs12524-015-0500-2

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Abstract:

In India every year about 1, 35,000 people killed and about 5,28,000 people injured due to Road traffic accidents. The most of the road accident deaths occurred within few minutes of the accident at road or during transfer to hospital. The purpose of this study is to show the use of Geographical Information System (GIS) in identification of black spot locations. This case study is done on the stretch of Gurgaon Jaipur National Highway (NH-8). The Methodology adopted to analyses the accident data collected from 2010 to 2012 collected from NHAI. In this study, GIS Software is used to map, visualize and examine the accident data. Further, Kernel Density Estimation method, Moran’s I statics and Get-Ord Gi* Statics are used for critical analysis.

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