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- Bayesian frameworks (1)
- Crash severity (1)
- Days of the week (1)
- Dirichlet process prior (1)
- Disparity effect (1)
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- Durability; fly ash; ground granulated blast-furnace slag; metakaolin; natural pozzolan; Ultra-high performance concrete (1)
- Dynamic transition of traffic regimes (1)
- Gaussian distributed random-effect (1)
- Hierarchical model (1)
- Lane lateral locations (1)
- Non-parametric distributed random-effect (1)
- Travel time reliability (1)
Articles 1 - 4 of 4
Full-Text Articles in Engineering
A Comprehensive Study On Non-Proprietary Ultra-High-Performance Concrete Containing Supplementary Cementitious Materials, Seyedsaleh Mousavinezhad, Gregory J. Gonzales, William K. Toledo, Judith M. Garcia, Craig M. Newston, Srinivas Allena
A Comprehensive Study On Non-Proprietary Ultra-High-Performance Concrete Containing Supplementary Cementitious Materials, Seyedsaleh Mousavinezhad, Gregory J. Gonzales, William K. Toledo, Judith M. Garcia, Craig M. Newston, Srinivas Allena
Civil and Environmental Engineering Faculty Publications
Ultra-high performance concrete (UHPC) is a novel cement-based material with exceptional mechanical and durability properties. Silica fume, the primary supplementary cementitious material (SCM) in UHPC, is expensive in North America, so it is often substituted with inexpensive class F fly ash. However, future availability of fly ash is uncertain as the energy industry moves toward renewable energy, which creates an urgent need to find cost-effective and environmentally friendly alternatives to fly ash. This study investigated replacing cement, fly ash, and silica fume in UHPC mixtures with ground granulated blast-furnace slag (GGBFS), metakaolin, and a natural pozzolan (pumicite). To identify acceptable …
An Application Of Bayesian Multilevel Model To Evaluate Variations In Stochastic And Dynamic Transition Of Traffic Conditions, Emmanuel Kidando, Ren Moses, Thobias Sando, Eren Erman Ozguven
An Application Of Bayesian Multilevel Model To Evaluate Variations In Stochastic And Dynamic Transition Of Traffic Conditions, Emmanuel Kidando, Ren Moses, Thobias Sando, Eren Erman Ozguven
Civil and Environmental Engineering Faculty Publications
© 2019, The Author(s). This study seeks to investigate the variations associated with lane lateral locations and days of the week in the stochastic and dynamic transition of traffic regimes (DTTR). In the proposed analysis, hierarchical regression models fitted using Bayesian frameworks were used to calibrate the transition probabilities that describe the DTTR. Datasets of two sites on a freeway facility located in Jacksonville, Florida, were selected for the analysis. The traffic speed thresholds to define traffic regimes were estimated using the Gaussian mixture model (GMM). The GMM revealed that two and three regimes were adequate mixture components for estimating …
Incorporating Travel Time Reliability In Predicting The Likelihood Of Severe Crashes On Arterial Highways Using Non-Parametric Random-Effect Regression, Emmanuel Kidando, Ren Moses, Eren Erman Ozguven, Thobias Sando
Incorporating Travel Time Reliability In Predicting The Likelihood Of Severe Crashes On Arterial Highways Using Non-Parametric Random-Effect Regression, Emmanuel Kidando, Ren Moses, Eren Erman Ozguven, Thobias Sando
Civil and Environmental Engineering Faculty Publications
© 2019 The Authors Travel time reliability (TTR) modeling has gain attention among researchers' due to its ability to represent road user satisfaction as well as providing a predictability of a trip travel time. Despite this significant effort, its impact on the severity of a crash is not well explored. This study analyzes the effect of TTR and other variables on the probability of the crash severity occurring on arterial roads. To address the unobserved heterogeneity problem, two random-effect regressions were applied; the Dirichlet random-effect (DRE) and the traditional random-effect (TRE) logistic regression. The difference between the two models is …
Bayesian Nonparametric Model For Estimating Multistate Travel Time Distribution, Emmanuel Kidando, Ren Moses, Eren E. Ozguven, Thobias Sando
Bayesian Nonparametric Model For Estimating Multistate Travel Time Distribution, Emmanuel Kidando, Ren Moses, Eren E. Ozguven, Thobias Sando
Civil and Environmental Engineering Faculty Publications
© 2017 Emmanuel Kidando et al. Multistate models, that is, models with more than two distributions, are preferred over single-state probability models in modeling the distribution of travel time. Literature review indicated that the finite multistate modeling of travel time using lognormal distribution is superior to other probability functions. In this study, we extend the finite multistate lognormal model of estimating the travel time distribution to unbounded lognormal distribution. In particular, a nonparametric Dirichlet Process Mixture Model (DPMM) with stick-breaking process representation was used. The strength of the DPMM is that it can choose the number of components dynamically as …