Development of a safety performance function for the ramadi network: A random parameter model approach

To evaluate the effect of traffic characteristics across various road segments on accident frequency, this research highlighted the use of a random parameter negative binomial model, suggesting this as a superior method for exploring the effect of such variables on accident frequency. Four years’ da...

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Bibliographic Details
Main Authors: Zadine, Asmaa Ismail, Awad, Hamid Ahmed, Abed, Adil Nahir
Format: Conference Proceeding
Language:English
Subjects:
Free flow
Heavy vehicles
Mathematical models
Parameters
Traffic accidents
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Summary:To evaluate the effect of traffic characteristics across various road segments on accident frequency, this research highlighted the use of a random parameter negative binomial model, suggesting this as a superior method for exploring the effect of such variables on accident frequency. Four years’ data from selected arterials in urban areas of Al-Ramadi City, Iraq. The results for the model suggest that it provides a better understanding of the impact of traffic features on the incidence of accidents due to its ability to account for unobserved variation in each variable. The log of daily average annual traffic, percentage of heavy vehicles, and free flow speed were thus all found to have positive correlations with traffic accident numbers.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0204983