Multivariate approach to peak-period models for crash types and severities in variable speed systems on freeways

T Hasan, M Abdel-Aty… - Transportation research …, 2024 - journals.sagepub.com
According to current research, safety performance functions (SPFs) based on traditional
annual average daily traffic are less suitable for addressing crash risk in traffic-management …

Short-term safety performance functions by random parameters negative binomial-Lindley model for part-time shoulder use

T Hasan, M Abdel-Aty - Accident Analysis & Prevention, 2024 - Elsevier
Abstract Part-time Shoulder Use (PTSU) is a traffic management and operation strategy that
allows the use of the left or right shoulder as a travel lane, typically during the peak hours of …

[HTML][HTML] Investigation of Traffic Accidents Prediction Models and Effective Human Factors: A Review

S Afandizadeh, H Bigdeli Rad - Journal of Civil Engineering and …, 2023 - jcema.com
In most countries of the world, saving human lives is one of the most important and first
factors that have been considered by politicians. Among the causes of death, road accident …

An advanced real-time crash prediction framework for combined hard shoulder running and variable speed limits system using transformer

M Abdel-Aty, T Hasan, BMTH Anik - Scientific Reports, 2024 - nature.com
One of the important applications of real-time crash prediction analysis lies in the field of
proactive traffic management, where instantaneous crash risk evaluation and dynamic …

Analyzing the time to death of pedestrian fatalities: A copula approach

N Anwari, T Bhowmik, M Abdel-Aty, N Eluru… - Journal of Safety …, 2025 - Elsevier
Introduction: The study aims to investigate the instant fatality likelihood and time to death
(lag time) of pedestrian fatalities using a copula-based joint modeling framework. The upper …

[HTML][HTML] Combination of macroscopic and microscopic crash prediction models with multiple modeling approaches: A highway case study

E Rúa, P Arias, Á Saavedra… - Expert Systems with …, 2024 - Elsevier
Road traffic crashes are a global problem and represent a major cause of mortality among
children and young people worldwide. Crash prediction models (CPM) play a crucial role in …

Prediction of Crash Injury Severity in Florida's Interstate-95

BM Anik, MM Rashid, MJ Ahsan - arXiv preprint arXiv:2312.12459, 2023 - arxiv.org
Drivers can sustain serious injuries in traffic accidents. In this study, traffic crashes on
Florida's Interstate-95 from 2016 to 2021 were gathered, and several classification methods …

Transformer-Conformer Ensemble for Crash Prediction Using Connected Vehicle Trajectory Data

Z Islam, M Abdel-Aty, BMTH Anik - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Crash prediction is one of the important elements of real time traffic management strategies.
Previous studies have demonstrated the use of infrastructure-based detector data and UAV …

Time-Based Safety Performance Functions of Metered Ramps and Merge Sections

A Faden, M Abdel-Aty, T Hasan… - Journal of Transportation …, 2025 - ascelibrary.org
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 …

Incorporating Driving Behavior Metrics Derived from Naturalistic Driving Data into Macroscopic Safety Modeling

JC Medina, R Srinivasan… - Transportation …, 2024 - journals.sagepub.com
This research leveraged datasets from the Strategic Highway Research Program 2 (SHRP2)
Naturalistic Driving Study (NDS) to explore the potential benefits of incorporating …