Developing a Random Parameters Negative Binomial-Lindley Model to analyze highly over-dispersed crash count data
Sign Up to like & getrecommendations! Published in 2018 at "Analytic Methods in Accident Research"
DOI: 10.1016/j.amar.2018.04.002
Abstract: Abstract The existence of preponderant zero crash sites and/or sites with large crash counts can present challenges during the statistical analysis of crash count data. Additionally, unobserved heterogeneity in crash data due to the absence… read more here.
Keywords: crash; model; negative binomial; count data ... See more keywords
Benchmarking regions using a heteroskedastic grouped random parameters model with heterogeneity in mean and variance: Applications to grade crossing safety analysis
Sign Up to like & getrecommendations! Published in 2018 at "Analytic Methods in Accident Research"
DOI: 10.1016/j.amar.2018.06.003
Abstract: Abstract 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 propensities according to specific safety performance measures (e.g., crash… read more here.
Keywords: heterogeneity mean; grouped random; heterogeneity; mean variance ... See more keywords
A hierarchical Bayesian spatiotemporal random parameters approach for alcohol/drug impaired-driving crash frequency analysis
Sign Up to like & getrecommendations! Published in 2019 at "Analytic Methods in Accident Research"
DOI: 10.1016/j.amar.2019.01.002
Abstract: Abstract Unobserved heterogeneity, which has been recognized as a critical issue in crash frequency modelling, generates from multiple sources, including observable and unobservable factors, space and time instability, crash severities, etc. However, only a very… read more here.
Keywords: random parameters; hierarchical bayesian; crash; crash frequency ... See more keywords
Analyzing road crash frequencies with uncorrelated and correlated random-parameters count models: An empirical assessment of multilane highways
Sign Up to like & getrecommendations! Published in 2019 at "Analytic Methods in Accident Research"
DOI: 10.1016/j.amar.2019.100101
Abstract: Abstract Recent literature on highway safety research has focused on methodological advances to minimize misspecifications and the potential for erroneous estimates and invalid statistical inferences. To further these efforts, this study carries out an empirical… read more here.
Keywords: correlated random; road; crash; multilane highways ... See more keywords
Is an informed driver a better decision maker? A grouped random parameters with heterogeneity-in-means approach to investigate the impact of the connected environment on driving behaviour in safety-critical situations
Sign Up to like & getrecommendations! Published in 2020 at "Analytic Methods in Accident Research"
DOI: 10.1016/j.amar.2020.100127
Abstract: The motive of sharing the information in a connected environment is to assist a driver in operational, tactical, and strategic decision making and improving driving task performance. The influence of such information assistance on driver… read more here.
Keywords: decision; safety critical; connected environment; environment ... See more keywords
Comparative analysis of alternative random parameters count data models in highway safety
Sign Up to like & getrecommendations! Published in 2021 at "Analytic Methods in Accident Research"
DOI: 10.1016/j.amar.2021.100158
Abstract: Abstract Unobserved heterogeneity has been a major challenge in developing reliable road safety models. A number of statistical techniques have been developed to account for unobserved heterogeneity and of which, the random parameters approach is… read more here.
Keywords: safety; heterogeneity; parameters model; heterogeneity means ... See more keywords
Stochastic Runway Scheduling Problem With Partial Distribution Information of Random Parameters
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2984513
Abstract: Air traffic flow management is one of the most important operations in terminal airports heavily relying on advanced intelligence transportation techniques. This work considers a two-stage runway scheduling problem given a set of flights with… read more here.
Keywords: random parameters; problem; runway scheduling; distribution ... See more keywords
A Bayesian Bivariate Random Parameters and Spatial-Temporal Negative Binomial Lindley Model for Jointly Modeling Crash Frequency by Severity: Investigation for Chinese Freeway Tunnel Safety
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3165065
Abstract: As hazardous locations of a road, freeway tunnels have a higher risk of casualty than open roads. Therefore, it is necessary to seek a reliable crash prediction model and propose targeted improvement measures. However, existing… read more here.
Keywords: random parameters; freeway tunnel; severity; model ... See more keywords
Uncertainty quantification for ecological models with random parameters.
Sign Up to like & getrecommendations! Published in 2022 at "Ecology letters"
DOI: 10.1111/ele.14095
Abstract: There is often considerable uncertainty in parameters in ecological models. This uncertainty can be incorporated into models by treating parameters as random variables with distributions, rather than fixed quantities. Recent advances in uncertainty quantification methods,… read more here.
Keywords: random parameters; ecological models; uncertainty; models random ... See more keywords
Electrodynamic Analysis of a 1D Array with Random Parameters
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Communications Technology and Electronics"
DOI: 10.1134/s1064226920040026
Abstract: Abstract An electrodynamic method is proposed for analysis of infinite 1D arrays with random parameters. The approach is based on methods of compensating source and generalized scattering matrix that make it possible to analyze infinite… read more here.
Keywords: analysis array; array random; array; analysis ... See more keywords
Analysis of the Stochastic Population Model with Random Parameters
Sign Up to like & getrecommendations! Published in 2020 at "Entropy"
DOI: 10.3390/e22050562
Abstract: The population models allow for a better understanding of the dynamical interactions with the environment and hence can provide a way for understanding the population changes. They are helpful in studying the biological invasions, environmental… read more here.
Keywords: random parameters; model random; population; stochastic population ... See more keywords