Roundabout accident prediction model: random-parameter negative binomial approach

Kamla, Jwan and Parry, Tony and Dawson, Andrew (2016) Roundabout accident prediction model: random-parameter negative binomial approach. Transportation Research Record, 2585 . pp. 11-19. ISSN 2169-4052

[img]
Preview
PDF (Roundabout Accident Prediction Model: Random-Parameter Negative Binomial Approach) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (607kB) | Preview

Abstract

Roundabouts have been used widely on all road classes in the United Kingdom because they are considered safer than other types of intersections in general. The objective of this study was to examine geometric and traffic characteristics and their influences on the number of accidents. Data from each of 70 roundabouts (with 284 approaches) included all recorded vehicle accidents as well as geometric and traffic characteristics for the entire roundabout, within circulatory lanes, and at roundabout approaches. Resulting estimates were compared with those from random-parameter and fixed-parameter negative binomial count data models. The random-parameter results provided better goodness of fit than the fixed-parameter results, and more variables were found to be significant. Significant variables that influenced the number of accidents were total approach traffic, truck percentage, entry width, inscribed circle diameter, number of lanes, and presence of traffic signals.

Item Type: Article
Additional Information: Copyright National Academy of Sciences.
Keywords: Roundabout, accidents, random-parameters, fixed-parameters
Schools/Departments: University of Nottingham UK Campus > Faculty of Engineering > Department of Civil Engineering
Identification Number: https://doi.org/10.3141/2585-02
Related URLs:
URLURL Type
http://trrjournalonline.trb.org/Publisher
Depositing User: Kamla, Jwan
Date Deposited: 14 Oct 2016 08:35
Last Modified: 18 Oct 2016 08:07
URI: http://eprints.nottingham.ac.uk/id/eprint/37538

Actions (Archive Staff Only)

Edit View Edit View