Multivariate Poisson-Lognormal models for predicting peak-period crash frequency of joint on-ramp and merge segments on freeways

A Faden, M Abdel-Aty, N Mahmoud… - Transportation …, 2024 - journals.sagepub.com
Because of a growing crash occurrence in conflict areas, the ramp and merge segments on
freeways are a concern for transportation researchers and practitioners. Therefore, short …

inTformer: A Time-Embedded Attention-Based Transformer for Crash Likelihood Prediction at Intersections Using Connected Vehicle Data

BM Anik, Z Islam, M Abdel-Aty - arXiv preprint arXiv:2307.03854, 2023 - arxiv.org
The real-time crash likelihood prediction model is an essential component of the proactive
traffic safety management system. Over the years, numerous studies have attempted to …

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 …

LSTM Transformer Real-Time Crash Risk Evaluation Using Traffic Flow and Risky Driving Behavior Data

L Han, M Abdel-Aty, R Yu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Crash risk evaluation studies mainly established the relationship between the macro traffic
status and crashes. However, the impact of risky driving behavior, a significant factor in …

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 …

Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques

N Behboudi, S Moosavi, R Ramnath - arXiv preprint arXiv:2406.13968, 2024 - arxiv.org
Traffic accidents pose a severe global public health issue, leading to 1.19 million fatalities
annually, with the greatest impact on individuals aged 5 to 29 years old. This paper …

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 …

Real-time crash prediction on express managed lanes of Interstate highway with anomaly detection learning

S Yang, M Abdel-Aty, Z Islam, D Wang - Accident Analysis & Prevention, 2024 - Elsevier
To facilitate efficient transportation, I-4 Express is constructed separately from general use
lanes in metropolitan area to improve mobility and reduce congestion. As this new …

Enhancing multi-scenario applicability of freeway variable speed limit control strategies using continual learning

R Zhang, S Xu, R Yu, J Yu - Accident Analysis & Prevention, 2024 - Elsevier
Variable speed limit (VSL) control benefits freeway operations through dynamic speed limit
adjustment strategies for specific operation scenarios, such as traffic jams, secondary crash …

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 …