Bayesian spatial correlation, heterogeneity and spillover effect modeling for speed mean and variance on urban road networks

Y Zhou, X Jiang, C Fu, H Liu, G Zhang - Accident Analysis & Prevention, 2022 - Elsevier
Analyzing speed mean and variance is vital to safety management in urban roadway
networks. However, modeling speed mean and variance on structured roads could be …

Exploring the influence of drivers' visual surroundings on speeding behavior

M Abdel-Aty, J Ugan, Z Islam - Accident Analysis & Prevention, 2024 - Elsevier
Despite awareness campaigns and legal consequences, speeding is a significant cause of
road accidents and fatalities globally. To combat this issue, understanding the impact of a …

Who might encounter hard-braking while speeding? Analysis for regular speeders using low-frequency taxi trajectories on arterial roads and explainable AI

Y Zhou, C Fu, X Jiang, Q Yu, H Liu - Accident Analysis & Prevention, 2024 - Elsevier
Regular speeders are those who commit speeding recidivism during a period. Among their
speeding behaviors, some occurring in specific scenarios may cause more hazards to road …

Leveraging probe data to model speeding on urban limited access highway segments: Examining the impact of operational performance, roadway characteristics, and …

E Marshall, M Shirazi, A Shahlaee, JN Ivan - Accident Analysis & …, 2023 - Elsevier
Stay-at-home orders-imposed to prevent the spread of COVID-19-drastically changed the
way highways operate. Despite lower traffic volumes during these times, the rate of fatal and …

Multi-dimensional unobserved heterogeneities: Modeling likelihood of speeding behaviors in different patterns for taxi speeders with mixed distributions, multivariate …

Y Zhou, C Fu, X Jiang - Analytic Methods in Accident Research, 2024 - Elsevier
Speeding behaviors can be classified into different patterns according to both speeding-
range and speeding-distance. Among the speeding patterns, some are more frequently …

[HTML][HTML] Uncertainty matters: Bayesian modeling of bicycle crashes with incomplete exposure data

P Xu, L Bai, X Pei, SC Wong, H Zhou - Accident Analysis & Prevention, 2022 - Elsevier
Background One major challenge faced by neighborhood-level bicycle safety analysis is the
lack of complete and reliable exposure data for the entire area under investigation. Although …

[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 …

[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 …

Analyzing the heterogenous effects of factors on high-range speeding likelihood of taxi speeders: Does explainable deep learning provides more insights than …

Y Zhou, C Fu, X Jiang, H Liu - Accident Analysis & Prevention, 2024 - Elsevier
Abstract The random parameters Generalized Linear Model (GLM) is frequently used to
model speeding characteristics and capture the heterogenous effects of factors. However …

Using Connected Vehicle Trajectory Data to Evaluate the Effects of Speeding

J Ugan, M Abdel-Aty, Z Islam - IEEE Open Journal of Intelligent …, 2023 - ieeexplore.ieee.org
Speeding remains a key factor in traffic fatalities, prompting transportation agencies to
propose speed management solutions. While studies have examined speeding percentages …