Multivariate Bayesian hierarchical Gaussian copula modeling of the non-stationary traffic conflict extremes for crash estimation
C Fu, T Sayed - Analytic methods in accident research, 2021 - Elsevier
Recent studies have demonstrated that single conflict indicators represent only a fractional
aspect of the severity of a traffic interaction. As such, integrating several conflict indicators in …
aspect of the severity of a traffic interaction. As such, integrating several conflict indicators in …
Derivation of the Empirical Bayesian method for the Negative Binomial-Lindley generalized linear model with application in traffic safety
The expected crash frequency is the long-term average crash count for a specific site. It is
extensively used to systematically evaluate the crash risk associated with roadway …
extensively used to systematically evaluate the crash risk associated with roadway …
Dynamic identification of short-term and longer-term hazardous locations using a conflict-based real-time extreme value safety model
T Ghoul, T Sayed, C Fu - Analytic methods in accident research, 2023 - Elsevier
A novel and effective approach to safety management requires evaluating the safety of
locations over short time periods (eg minutes). Unlike traditional methods that are based on …
locations over short time periods (eg minutes). Unlike traditional methods that are based on …
[HTML][HTML] A new spatial count data model with Bayesian additive regression trees for accident hot spot identification
The identification of accident hot spots is a central task of road safety management.
Bayesian count data models have emerged as the workhorse method for producing …
Bayesian count data models have emerged as the workhorse method for producing …
[HTML][HTML] Justification for considering zero-inflated models in crash frequency analysis
One common challenge of modeling intersection related crash data is the high proportion of
sites with zero crashes. Extensive research has been done on appropriate methods to …
sites with zero crashes. Extensive research has been done on appropriate methods to …
A comparative analysis of intersection hotspot identification: Fixed vs. varying dispersion parameters in negative binomial models
Network screening for crash hotspots is the first step in roadway safety management. The
empirical Bayes (EB) method has been widely used for ranking sites. In the EB process, the …
empirical Bayes (EB) method has been widely used for ranking sites. In the EB process, the …
Assessing the Negative Binomial-Lindley model for crash hotspot identification: insights from Monte Carlo simulation analysis
Identifying hazardous crash sites (or hotspots) is a crucial step in highway safety
management. The Negative Binomial (NB) model is the most common model used in safety …
management. The Negative Binomial (NB) model is the most common model used in safety …
Bayesian approach to developing context-based crash modification factors for medians on rural four-lane roadways
Rural four-lane roadways provide important transportation accessibility and mobility to
populations in rural areas. It is a challenge for practitioners to determine cross-section types …
populations in rural areas. It is a challenge for practitioners to determine cross-section types …
Generalized criteria for evaluating hotspot identification methods
Hotspot identification (HSID) is one of the most important components in the highway safety
management process. Previous research has found that hazardous sites identified with …
management process. Previous research has found that hazardous sites identified with …
Alternative method for identifying crash hotspot using detailed crash information from First Information Report (FIR)
S Barman, R Bandyopadhyaya - Transportation in developing economies, 2021 - Springer
Identification and improvement of crash hotspots is an important step towards road safety
improvement. The Hotspot Identification (HSID) methods aim to identify a list of hotspots with …
improvement. The Hotspot Identification (HSID) methods aim to identify a list of hotspots with …