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 …
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 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 …
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 …
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 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 …
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 …
Statistical modeling of historical crash data can provide essential insights to safety managers for proactive highway safety management. While numerous studies have …
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 …