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Assessing traffic conflict/crash relationships with extreme value theory: Recent developments and future directions for connected and autonomous vehicle and …
With proactive safety assessment gaining significant attention in the literature, the
relationship between traffic conflicts (which form the underpinnings of proactive safety …
relationship between traffic conflicts (which form the underpinnings of proactive safety …
A review of spatial approaches in road safety
Spatial analyses of crashes have been adopted in road safety for decades in order to
determine how crashes are affected by neighboring locations, how the influence of …
determine how crashes are affected by neighboring locations, how the influence of …
Comparison of four statistical and machine learning methods for crash severity prediction
Crash severity prediction models enable different agencies to predict the severity of a
reported crash with unknown severity or the severity of crashes that may be expected to …
reported crash with unknown severity or the severity of crashes that may be expected to …
[HTML][HTML] Geographically weighted machine learning for modeling spatial heterogeneity in traffic crash frequency and determinants in US
Spatial analyses of traffic crashes have drawn much interest due to the nature of the spatial
dependence and spatial heterogeneity in the crash data. This study makes the best of …
dependence and spatial heterogeneity in the crash data. This study makes the best of …
Review of recent trends in charging infrastructure planning for electric vehicles
The exhaustive nature of fossil fuels and environmental concerns associated with
greenhouse gases are the major causes of the paradigm shift from conventional vehicles to …
greenhouse gases are the major causes of the paradigm shift from conventional vehicles to …
A comparative study of state-of-the-art driving strategies for autonomous vehicles
The autonomous vehicle is regarded as a promising technology with the potential to
reshape mobility and solve many traffic issues, such as accessibility, efficiency …
reshape mobility and solve many traffic issues, such as accessibility, efficiency …
Modeling crash spatial heterogeneity: Random parameter versus geographically weighting
The widely adopted techniques for regional crash modeling include the negative binomial
model (NB) and Bayesian negative binomial model with conditional autoregressive prior …
model (NB) and Bayesian negative binomial model with conditional autoregressive prior …
Exploring a Bayesian hierarchical approach for develo** safety performance functions for a mountainous freeway
While rural freeways generally have lower crash rates, interactions between driver behavior,
traffic and geometric characteristics, and adverse weather conditions may increase the crash …
traffic and geometric characteristics, and adverse weather conditions may increase the crash …