The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives
Gaining a better understanding of the factors that affect the likelihood of a vehicle crash has
been an area of research focus for many decades. However, in the absence of detailed …
been an area of research focus for many decades. However, in the absence of detailed …
The COM‐Poisson model for count data: a survey of methods and applications
The Poisson distribution is a popular distribution for modeling count data, yet it is
constrained by its equidispersion assumption, making it less than ideal for modeling real …
constrained by its equidispersion assumption, making it less than ideal for modeling real …
Analytic methods in accident research: Methodological frontier and future directions
The analysis of highway-crash data has long been used as a basis for influencing highway
and vehicle designs, as well as directing and implementing a wide variety of regulatory …
and vehicle designs, as well as directing and implementing a wide variety of regulatory …
Road safety research in the context of low-and middle-income countries: Macro-scale literature analyses, trends, knowledge gaps and challenges
Road users in low-and middle-income countries (LMICs) are overrepresented in road
trauma statistics. Despite the relative success of many high-income countries (HICs) in …
trauma statistics. Despite the relative success of many high-income countries (HICs) in …
Estimation of rear-end vehicle crash frequencies in urban road tunnels
According to The Handbook of Tunnel Fire Safety, over 90%(55 out of 61 cases) of fires in
road tunnels are caused by vehicle crashes (especially rear-end crashes). It is thus …
road tunnels are caused by vehicle crashes (especially rear-end crashes). It is thus …
A data-driven approach for driving safety risk prediction using driver behavior and roadway information data
Future roadways will have a mix of autonomous and automated vehicles with regular
vehicles that require human operators. To ensure the safety of all the road users in such a …
vehicles that require human operators. To ensure the safety of all the road users in such a …
Investigation of work zone crash casualty patterns using association rules
Investigation of the casualty crash characteristics and contributory factors is one of the high-
priority issues in traffic safety analysis. In this paper, we propose a method based on …
priority issues in traffic safety analysis. In this paper, we propose a method based on …
Mean-parametrized Conway–Maxwell–Poisson regression models for dispersed counts
A Huang - Statistical Modelling, 2017 - journals.sagepub.com
Conway–Maxwell–Poisson (CMP) distributions are flexible generalizations of the Poisson
distribution for modelling overdispersed or underdispersed counts. The main hindrance to …
distribution for modelling overdispersed or underdispersed counts. The main hindrance to …
GLM-based flexible monitoring methods: an application to real-time highway safety surveillance
Statistical modeling of historical crash data can provide essential insights to safety
managers for proactive highway safety management. While numerous studies have …
managers for proactive highway safety management. While numerous studies have …
Crash risk and subjective risk perception during urban cycling: Evidence for congruent and incongruent sources
R von Stülpnagel, J Lucas - Accident Analysis & Prevention, 2020 - Elsevier
Background Urban planners frequently neglect the role of subjective risk perception during
urban cycling. Several findings suggest a complex relationship between the risk of being …
urban cycling. Several findings suggest a complex relationship between the risk of being …