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Title:

Characterization of Fatal Road Traffic Accidents Using k-Means Clustering: Case Study of Bogota, Colombia

Accession Number:

01333465

Record Type:

Component

Abstract:

This paper aims at analyzing which are the characteristics of the fatal road accidents occurring in Bogota by using the Algorithm K-means in order to identify accident circumstances that frequently occur together. Results show that two pair of interactions characterize most of fatal road accidents: Public Transport-Pedestrians and Public Transport-Motorcycle. These exploratory results show the potentiality of the clustering techniques in order to identify specific combinations of relevant variables that will give hints for a better road safety program.

Monograph Accession #:

01329018

Report/Paper Numbers:

11-4026

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Bocarejo, Juan Pablo
Diaz, Claudia Andrea

Pagination:

8p

Publication Date:

2011

Conference:

Transportation Research Board 90th Annual Meeting

Location: Washington DC, United States
Date: 2011-1-23 to 2011-1-27
Sponsors: Transportation Research Board

Media Type:

DVD

Features:

Figures (2) ; References; Tables (4)

Geographic Terms:

Bogota (Colombia)

Subject Areas:

Highways; Pedestrians and Bicyclists; Public Transportation; Safety and Human Factors; I81: Accident Statistics; I84: Personal Injuries

Source Data:

Transportation Research Board Annual Meeting 2011 Paper #11-4026

Files:

TRIS, TRB

Created Date:

Feb 17 2011 6:44PM