Identification of Black Spots on Highway with Kernel Density Estimation Method View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-02-03

AUTHORS

H. A. S. Sandhu, Gyanendra Singh, M. S. Sisodia, Rajiv Chauhan

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. More... »

PAGES

457-464

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12524-015-0500-2

DOI

http://dx.doi.org/10.1007/s12524-015-0500-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1032768890


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