A Poisson-lognormal conditional-autoregressive model for multivariate spatial analysis of pedestrian crash counts across neighborhoods
Y Wang, KM Kockelman - Accident Analysis & Prevention, 2013 - Elsevier
This work examines the relationship between 3-year pedestrian crash counts across Census
tracts in Austin, Texas, and various land use, network, and demographic attributes, such as …
tracts in Austin, Texas, and various land use, network, and demographic attributes, such as …
Predicting motor vehicle crashes using support vector machine models
Crash prediction models have been very popular in highway safety analyses. However, in
highway safety research, the prediction of outcomes is seldom, if ever, the only research …
highway safety research, the prediction of outcomes is seldom, if ever, the only research …
Geographical unit based analysis in the context of transportation safety planning
A wide array of spatial units has been explored in macro-level modeling. With the
advancement of Geographic Information System (GIS) analysts are able to analyze crashes …
advancement of Geographic Information System (GIS) analysts are able to analyze crashes …
Simulation of safety: A review of the state of the art in road safety simulation modelling
Recent decades have seen considerable growth in computer capabilities, data collection
technology and communication mediums. This growth has had considerable impact on our …
technology and communication mediums. This growth has had considerable impact on our …
Multivariate random-parameters zero-inflated negative binomial regression model: An application to estimate crash frequencies at intersections
Crash data are collected through police reports and integrated with road inventory data for
further analysis. Integrated police reports and inventory data yield correlated multivariate …
further analysis. Integrated police reports and inventory data yield correlated multivariate …
Collision prediction models using multivariate Poisson-lognormal regression
K El-Basyouny, T Sayed - Accident Analysis & Prevention, 2009 - Elsevier
This paper advocates the use of multivariate Poisson-lognormal (MVPLN) regression to
develop models for collision count data. The MVPLN approach presents an opportunity to …
develop models for collision count data. The MVPLN approach presents an opportunity to …
A review of multivariate distributions for count data derived from the Poisson distribution
The Poisson distribution has been widely studied and used for modeling univariate count‐
valued data. However, multivariate generalizations of the Poisson distribution that permit …
valued data. However, multivariate generalizations of the Poisson distribution that permit …
Exploring a Bayesian hierarchical approach for developing safety performance functions for a mountainous freeway
While rural freeways generally have lower crash rates, interactions between driver behavior,
traffic and geometric characteristics, and adverse weather conditions may increase the crash …
traffic and geometric characteristics, and adverse weather conditions may increase the crash …
Fifty years of accident analysis & prevention: A bibliometric and scientometric overview
Abstract Accident Analysis & Prevention (AA&P) is a leading academic journal established
in 1969 that serves as an important scientific communication platform for road safety studies …
in 1969 that serves as an important scientific communication platform for road safety studies …
Exploring the effects of roadway characteristics on the frequency and severity of head-on crashes: Case studies from Malaysian Federal Roads
M Hosseinpour, AS Yahaya, AF Sadullah - Accident Analysis & Prevention, 2014 - Elsevier
Head-on crashes are among the most severe collision types and of great concern to road
safety authorities. Therefore, it justifies more efforts to reduce both the frequency and …
safety authorities. Therefore, it justifies more efforts to reduce both the frequency and …