| Temporal instability and the analysis of highway accident data |
52 |
| Time-of-day variations and temporal instability of factors affecting injury severities in large-truck crashes |
32 |
| The effects of driver fatigue, gender, and distracted driving on perceived and observed aggressive driving behavior: A correlated grouped random parameters bivariate probit approach |
27 |
| A statistical assessment of temporal instability in the factors determining motorcyclist injury severities |
26 |
| Analysis of accident injury-severities using a correlated random parameters ordered probit approach with time variant covariates |
26 |
| Analyzing road crash frequencies with uncorrelated and correlated random-parameters count models: An empirical assessment of multilane highways |
23 |
| Analysis of vehicle accident-injury severities: A comparison of segment-versus accident-based latent class ordered probit models with class-probability functions |
21 |
| Analysis of accident injury-severity outcomes: The zero-inflated hierarchical ordered probit model with correlated disturbances |
19 |
| An exploratory investigation of public perceptions towards safety and security from the future use of flying cars in the United States |
18 |
| Benchmarking regions using a heteroskedastic grouped random parameters model with heterogeneity in mean and variance: Applications to grade crossing safety analysis |
15 |
| Developing a grouped random parameters multivariate spatial model to explore zonal effects for segment and intersection crash modeling |
15 |
| Using the multivariate spatio-temporal Bayesian model to analyze traffic crashes by severity |
14 |
| A preliminary investigation of the effectiveness of high visibility enforcement programs using naturalistic driving study data: A grouped random parameters approach |
13 |
| Investigating varying effect of road-level factors on crash frequency across regions: A Bayesian hierarchical random parameter modeling approach |
10 |
| Bayesian hierarchical modeling of the non-stationary traffic conflict extremes for crash estimation |
9 |
| Evaluating temporal variability of exogenous variable impacts over 25 years: An application of scaled generalized ordered logit model for driver injury severity |
8 |
| Combining driving simulator and physiological sensor data in a latent variable model to incorporate the effect of stress in car-following behaviour |
8 |
| Developing a Random Parameters Negative Binomial-Lindley Model to analyze highly over-dispersed crash count data |
8 |
| Modeling unobserved heterogeneity for zonal crash frequencies: A Bayesian multivariate random-parameters model with mixture components for spatially correlated data |
8 |
| Exploring driver injury severity patterns and causes in low visibility related single-vehicle crashes using a finite mixture random parameters model |
7 |
| A joint econometric approach for modeling crash counts by collision type |
6 |
| A comprehensive joint econometric model of motor vehicle crashes arising from multiple sources of risk |
6 |
| A latent class approach for driver injury severity analysis in highway single vehicle crash considering unobserved heterogeneity and temporal influence |
6 |
| Non-decreasing threshold variances in mixed generalized ordered response models: A negative correlations approach to variance reduction |
5 |
| A hierarchical Bayesian spatiotemporal random parameters approach for alcohol/drug impaired-driving crash frequency analysis |
5 |
| Multivariate random parameters zero-inflated negative binomial regression for analyzing urban midblock crashes |
4 |
| A flexible discrete density random parameters model for count data: Embracing unobserved heterogeneity in highway safety analysis |
4 |
| A marginalized random effects hurdle negative binomial model for analyzing refined-scale crash frequency data |
4 |
| Contrasting case-wise deletion with multiple imputation and latent variable approaches to dealing with missing observations in count regression models |
4 |
| Bayesian hierarchical modeling of traffic conflict extremes for crash estimation: A non-stationary peak over threshold approach |
4 |
| A multilevel generalized ordered probit fractional split model for analyzing vehicle speed |
4 |
| A joint framework for static and real-time crash risk analysis |
3 |
| Do we need multivariate modeling approaches to model crash frequency by crash types? A panel mixed approach to modeling crash frequency by crash types |
3 |
| Hourly associations between weather factors and traffic crashes: Non-linear and lag effects |
2 |
| Comprehensive evaluation of signal-coordinated arterials on traffic safety |
2 |
| A mixed grouped response ordered logit count model framework |
0 |
