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Title:

Development of a Comprehensive Fuzzy Cluster Based HSID Technique

Accession Number:

01593451

Record Type:

Component

Abstract:

Researchers have attempted to rank sites using crash count, severity, expected severity and expected crash count or jointly using two metrics. The top ranked sites are designated as hotspots and are subjected to detailed investigation for design of improvement strategies. The choice of number of candidates for detailed investigation is subjective and depends on the practitioners’ discretion and available fund. No attempt has yet been made to take all the measures together in aggregate form to assess safety scenario of a site. The authors propose a joint fuzzy clustering method to assess safety of sites based on crash count, severity, expected severity and expected crash count. The clusters help identifying hazardous sites or hotspots which represent all possible candidate locations for further investigation.

Supplemental Notes:

This paper was sponsored by TRB committee ABJ80 Standing Committee on Statistical Methods. Alternate title: Development of a Comprehensive Fuzzy Cluster-Based HSID Technique

Monograph Accession #:

01584066

Report/Paper Numbers:

16-6957

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Bandyopadhyaya, Ranja
Mitra, Sudeshna

Pagination:

17p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

References; Tables

Uncontrolled Terms:

Subject Areas:

Highways; Planning and Forecasting; Safety and Human Factors

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-6957

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 7:02PM