Benchmarking regions using a heteroskedastic grouped random parameters model with heterogeneity in mean and variance: Applications to grade crossing safety …
Comparing regions while adjusting for differences in characteristics of sites located in those
regions is valuable since it identifies possible inter-regional dissimilarities in crash risk …
regions is valuable since it identifies possible inter-regional dissimilarities in crash risk …
[HTML][HTML] A novel Bayesian hierarchical model for road safety hotspot prediction
In this paper, we propose a Bayesian hierarchical model for predicting accident counts in
future years at sites within a pool of potential road safety hotspots. The aim is to inform road …
future years at sites within a pool of potential road safety hotspots. The aim is to inform road …
Computational Bayesian statistics in transportation modeling: from road safety analysis to discrete choice
In this paper, we review both the fundamentals and the expansion of computational
Bayesian econometrics and statistics applied to transportation modeling problems in road …
Bayesian econometrics and statistics applied to transportation modeling problems in road …
Speed limit reduction in urban areas: A before–after study using Bayesian generalized mixed linear models
S Heydari, LF Miranda-Moreno, F Liping - Accident Analysis & Prevention, 2014 - Elsevier
In fall 2009, a new speed limit of 40 km/h was introduced on local streets in Montreal
(previous speed limit: 50 km/h). This paper proposes a methodology to efficiently estimate …
(previous speed limit: 50 km/h). This paper proposes a methodology to efficiently estimate …
Effects of globally obtained informative priors on Bayesian safety performance functions developed for Australian crash data
The precision and bias of Safety Performance Functions (SPFs) heavily rely on the data
upon which they are estimated. When local (spatially and temporally representative) data …
upon which they are estimated. When local (spatially and temporally representative) data …
On the causal effect of proximity to school on pedestrian safety at signalized intersections: A heterogeneous endogenous econometric model
Pedestrian safety in proximity to schools is a major concern of transportation authorities,
local governments, and residents. In fact, several countermeasures (eg, school-zone speed …
local governments, and residents. In fact, several countermeasures (eg, school-zone speed …
Hotspot identification for Shanghai expressways using the quantitative risk assessment method
Hotspot identification (HSID) is the first and key step of the expressway safety management
process. This study presents a new HSID method using the quantitative risk assessment …
process. This study presents a new HSID method using the quantitative risk assessment …
Bayesian methodology to estimate and update safety performance functions under limited data conditions: A sensitivity analysis
In road safety studies, decision makers must often cope with limited data conditions. In such
circumstances, the maximum likelihood estimation (MLE), which relies on asymptotic theory …
circumstances, the maximum likelihood estimation (MLE), which relies on asymptotic theory …
Multilevel models to analyze before and after speed data
MT Islam, K El-Basyouny - Analytic methods in accident research, 2015 - Elsevier
Analyzing before–after speed data is often limited to a standard comparison of various
speed parameters. Although a few studies have used a model-based approach, various …
speed parameters. Although a few studies have used a model-based approach, various …
Development of crash modification factors for intersections in Toowoomba city
MN Al-Marafi, K Somasundaraswaran… - International Journal of …, 2021 - Taylor & Francis
This research outlines the analytical approaches that may be employed to recommend
multiple treatments for application to improve safety level at hazardous intersections in …
multiple treatments for application to improve safety level at hazardous intersections in …