Investigating factors of crash frequency with random effects and random parameters models: New insights from Chinese freeway study

Q Hou, AP Tarko, X Meng - Accident Analysis & Prevention, 2018 - Elsevier
In response to the rapid economic growth in China, its freeway system has become the
longest in the world and likely will continue to expand. Unfortunately, the safety issues on …

Do safety performance functions used for predicting crash frequency vary across space? Applying geographically weighted regressions to account for spatial …

J Liu, AJ Khattak, B Wali - Accident Analysis & Prevention, 2017 - Elsevier
Abstract Safety Performance Functions (SPFs) provide a basis for identifying locations
where countermeasures can be effective. While SPFs in the Highway Safety Manual (HSM) …

Transfer of the Highway Safety Manual predictive method to German rural two-lane, two-way roads

F Moraldi, F La Torre, S Ruhl - Journal of Transportation Safety & …, 2020 - Taylor & Francis
Abstract In Germany and Europe in general, a relevant proportion of all road fatalities occur
in the nonmotorway rural road network. Although the predictive performance of most …

Localizing safety performance functions for two-way STOP-controlled (TWST) three-leg intersections on rural two-lane two-way (TLTW) roadways in Alabama: A …

Z Zhang, J Liu, X Li, X Fu, C Yang, S Jones - Accident Analysis & …, 2023 - Elsevier
Abstract Safety Performance Functions (SPFs) can be used to predict the number of crashes
for highway facilities by site characteristics, including traffic exposures and other specific site …

[HTML][HTML] Multi-objective extensive hypothesis testing for the estimation of advanced crash frequency models

Z Ahern, P Corry, W Rabbani, A Paz - Accident Analysis & Prevention, 2024 - Elsevier
Analyzing crash data is a complex and labor-intensive process that requires careful
consideration of multiple interdependent modeling aspects, such as functional forms …

Estimating mountainous freeway crash rate: Application of a spatial model with three-dimensional (3D) alignment parameters

J Wang, S He, X Zhai, Z Wang, X Fu - Accident Analysis & Prevention, 2022 - Elsevier
The road alignment is a three-dimensional (3D) curve in nature. In this study, we
quantitatively examine the effect of 3D road alignment on traffic safety on mountainous …

Applicability of boosting techniques in calibrating safety performance functions for freeways

A Yehia, X Wang, M Feng, X Yang, J Gong… - Accident Analysis & …, 2021 - Elsevier
Safety performance functions (SPFs) are indispensable analytical tools that usually play a
crucial role in estimating crash frequencies, identifying hotspots, analyzing crash …

A new approach for calibrating safety performance functions

A Farid, M Abdel-Aty, J Lee - Accident Analysis & Prevention, 2018 - Elsevier
Safety performance functions (SPFs) are statistical regression models used for estimating
crash counts by roadway facility classification. They are required for identifying high crash …

Application of a random effects negative binomial model to examine crash frequency for freeways in China

Q Hou, X Meng, J Leng, L Yu - Physica A: Statistical Mechanics and its …, 2018 - Elsevier
The freeway system of China is the longest in the world and planned to expand in the
following years. However, the safety conditions of freeways are drawing increasing concerns …

[HTML][HTML] A comprehensive multi-objective framework for the estimation of crash frequency models

Z Ahern, P Corry, M Shirazi, A Paz - Accident Analysis & Prevention, 2025 - Elsevier
A common and challenging data and modeling aspect in crash analysis is unobserved
heterogeneity, which is often handled using random parameters and special distributions …