The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives

D Lord, F Mannering - Transportation research part A: policy and practice, 2010 - Elsevier
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 …

The COM‐Poisson model for count data: a survey of methods and applications

KF Sellers, S Borle, G Shmueli - Applied Stochastic Models in …, 2012 - Wiley Online Library
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 …

Analytic methods in accident research: Methodological frontier and future directions

FL Mannering, CR Bhat - Analytic methods in accident research, 2014 - Elsevier
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 …

Road safety research in the context of low-and middle-income countries: Macro-scale literature analyses, trends, knowledge gaps and challenges

M Haghani, A Behnood, V Dixit, O Oviedo-Trespalacios - Safety science, 2022 - Elsevier
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 …

Estimation of rear-end vehicle crash frequencies in urban road tunnels

Q Meng, X Qu - Accident Analysis & Prevention, 2012 - Elsevier
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 …

A data-driven approach for driving safety risk prediction using driver behavior and roadway information data

N Arbabzadeh, M Jafari - IEEE transactions on intelligent …, 2017 - ieeexplore.ieee.org
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 …

Investigation of work zone crash casualty patterns using association rules

J Weng, JZ Zhu, X Yan, Z Liu - Accident Analysis & Prevention, 2016 - Elsevier
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 …

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 …

GLM-based flexible monitoring methods: an application to real-time highway safety surveillance

A Jamal, T Mahmood, M Riaz, HM Al-Ahmadi - Symmetry, 2021 - mdpi.com
Statistical modeling of historical crash data can provide essential insights to safety
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 …