Roundabout Accident Prediction Model: Random-Parameter Negative Binomial Approach
Author(s) -
Jwan Kamla,
Tony Parry,
Andrew Dawson
Publication year - 2016
Publication title -
transportation research record journal of the transportation research board
Language(s) - English
Resource type - Journals
eISSN - 2169-4052
pISSN - 0361-1981
DOI - 10.3141/2585-02
Subject(s) - roundabout , negative binomial distribution , statistics , count data , geometric design , truck , mathematics , safer , goodness of fit , binomial (polynomial) , computer science , transport engineering , engineering , poisson distribution , geometry , aerospace engineering
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
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