Journal ArticleDOI
Applying the random effect negative binomial model to examine traffic accident occurrence at signalized intersections
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TLDR
The random effect negative binomial (RENB) model is applied to investigate the relationship between accident occurrence and the geometric, traffic and control characteristics of signalized intersections in Singapore and showed that 11 variables significantly affected the safety at the intersections.About:
This article is published in Accident Analysis & Prevention.The article was published on 2003-03-01. It has received 391 citations till now. The article focuses on the topics: Negative binomial distribution & Binomial distribution.read more
Citations
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A multivariate Poisson-lognormal regression model for prediction of crash counts by severity, using Bayesian methods
TL;DR: A multivariate Poisson-lognormal (MVPLN) specification that simultaneously models crash counts by injury severity and non-zero diagonal elements suggests overdispersion in crash counts at all levels of severity is offered.
Journal ArticleDOI
Severity of driver injury and vehicle damage in traffic crashes at intersections: a Bayesian hierarchical analysis.
TL;DR: A Bayesian hierarchical binomial logistic model was developed to identify the significant factors affecting the severity level of driver injury and vehicle damage in traffic crashes at signalized intersections and ensured the suitability of introducing the crash-level random effects.
Journal ArticleDOI
Geographical information systems aided traffic accident analysis system case study: city of Afyonkarahisar.
TL;DR: GIS is used as a management system for accident analysis and determination of hot spots in Turkey with statistical analysis methods to identify high rate accident locations and safety deficient areas on the highways.
Journal ArticleDOI
Multilevel data and Bayesian analysis in traffic safety
Hongwei Huang,Mohamed Abdel-Aty +1 more
TL;DR: A bayesian hierarchical approach that explicitly specifies multilevel structure and reliably yields parameter estimates is introduced and recommended to properly accommodate the potential cross-group heterogeneity and spatiotemporal correlation due to the multileVEL data structure.
Journal ArticleDOI
Temporal and spatial analyses of rear-end crashes at signalized intersections.
Xingmei Wang,Mohamed Abdel-Aty +1 more
TL;DR: The generalized estimating equations with the negative binomial link function were used to model rear-end crash frequencies at signalized intersections to account for the temporal or spatial correlation among the data, and showed that there are high correlations between the longitudinal or spatially correlated rear- end crashes.
References
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Book
Discrete Choice Analysis: Theory and Application to Travel Demand
Moshe Ben-Akiva,Steven R. Lerman +1 more
TL;DR: In this article, the authors present the methods of discrete choice analysis and their applications in the modeling of transportation systems and present a complete travel demand model system presented in chapter 11, which is intended as a graduate level text and a general professional reference.
Book
Regression Analysis of Count Data
TL;DR: The authors combine theory and practice to make sophisticated methods of analysis accessible to researchers and practitioners working with widely different types of data and software in areas such as applied statistics, econometrics, marketing, operations research, actuarial studies, demography, biostatistics and quantitative social sciences.
Journal ArticleDOI
Econometric Models for Count Data with an Application to the Patents-R&D Relationship
TL;DR: This paper developed and adapted statistical models of counts (nonnegative integers) in the context of panel data and used them to analyze the relationship between patents and R&D expenditures. But their model is not suitable for the analysis of large-scale data sets.
Journal ArticleDOI
The relationship between truck accidents and geometric design of road sections: Poisson versus negative binomial regressions.
TL;DR: The ZIP regression model appears to be a serious candidate model when data exhibit excess zeros, e.g. due to underreporting, and it is recommended that the Poisson regression model be used as an initial model for developing the relationship.
Journal ArticleDOI
Modeling Traffic Accident Occurrence and Involvement
Mohamed Abdel-Aty,A E Radwan +1 more
TL;DR: The model illustrated the significance of the Annual Average Daily Traffic (AADT), degree of horizontal curvature, lane, shoulder and median widths, urban/rural, and the section's length, on the frequency of accident occurrence.
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The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives
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