A novel integrated approach to modeling and predicting crash frequency by crash event state
In this study, we propose a novel integrated parametric framework for analyzing multivariate
crash count data based on linking a univariate count model for the total count of motor …
crash count data based on linking a univariate count model for the total count of motor …
Incorporating Inconsistency Patterns on Road Networks into Crash Modeling
This paper expands the scope of geometric design inconsistency analysis from corridor
scales to network-wide perspectives, exploring the impact of inconsistencies' spatial …
scales to network-wide perspectives, exploring the impact of inconsistencies' spatial …
Time-Based Safety Performance Functions of Metered Ramps and Merge Sections
Ramp metering (RM) is a widely used active traffic management (ATM) system on freeways
to enhance mobility. However, research on RM systems has predominantly focused on …
to enhance mobility. However, research on RM systems has predominantly focused on …
Full data imputation for freeway time-specific safety performance functions' estimation
Abstract Time-specific Safety Performance Functions (SPFs) were proposed to achieve
accurate and dynamic crash frequency predictions. Unfortunately, some states do not have …
accurate and dynamic crash frequency predictions. Unfortunately, some states do not have …
A study of the relation between traffic accidents and election posters
Inattention in traffic is a risk factor for the occurrence of accidents. Elements surrounding
traffic could potentially be a safety risk for road users. This study investigates the relation …
traffic could potentially be a safety risk for road users. This study investigates the relation …
Time-specific safety performance functions for different advanced traffic management strategies
J Fu - 2023 - stars.library.ucf.edu
Abstract Time-specific Safety Performance Functions (SPFs) were proposed to achieve
accurate and dynamic crash frequency predictions and bridge the gap between annual …
accurate and dynamic crash frequency predictions and bridge the gap between annual …