The Impact of Advanced Transit Information on Commuters' mode Changing. - Mohamed A. Abdel-Aty; Paul P. Jovanis; Ryuichi Kitamura (J. Intell. Transp. Syst., 1996)

A Simplified Approach for Developing a Multi-modal Travel Planner. - Mohamed A. Abdel-Aty (J. Intell. Transp. Syst., 1999)

A Freeway Safety Strategy for Advanced Proactive Traffic Management. - Anurag Pande; Mohamed A. Abdel-Aty (J. Intell. Transp. Syst., 2005)

Evaluating ITS strategies for real-time freeway safety improvement. - Vikash V. Gayah; Cristina dos Santos; Mohamed A. Abdel-Aty; Albinder Dhindsa; Jeremy Dilmore (ITSC, 2006)

Examination of Multiple Mode/Route-Choice Paradigms Under ATIS. - Mohamed A. Abdel-Aty; M. Fathy Abdalla (IEEE Trans. Intell. Transp. Syst., 2006)

ATMS implementation system for identifying traffic conditions leading to potential crashes. - Mohamed A. Abdel-Aty; Anurag Pande (IEEE Trans. Intell. Transp. Syst., 2006)

Calibrating a real-time traffic crash-prediction model using archived weather and ITS traffic data. - Mohamed A. Abdel-Aty; Rajashekar Pemmanaboina (IEEE Trans. Intell. Transp. Syst., 2006)

Crash Risk Assessment Using Intelligent Transportation Systems Data and Real-Time Intervention Strategies to Improve Safety on Freeways. - Mohamed A. Abdel-Aty; Anurag Pande; Chris Lee; Vikash V. Gayah; Cristina dos Santos (J. Intell. Transp. Syst., 2007)

A Computing Approach Using Probabilistic Neural Networks for Instantaneous Appraisal of Rear-End Crash Risk. - Anurag Pande; Mohamed A. Abdel-Aty (Comput. Aided Civ. Infrastructure Eng., 2008)

Two Simplified Intelligent Transportation System-Based Lane Management Strategies for Short-Term Work Zones. - Rami Harb; Essam Radwan; Mohamed A. Abdel-Aty; Xiaogang Su (J. Intell. Transp. Syst., 2011)

Driver Behavior and Preferences for Changeable Message Signs and Variable Speed Limits in Reduced Visibility Conditions. - Hany M. Hassan; Mohamed A. Abdel-Aty; Keechoo Choi; Saad A. Algadhi (J. Intell. Transp. Syst., 2012)

The Viability of Using Automatic Vehicle Identification Data for Real-Time Crash Prediction. - Mohamed M. Ahmed; Mohamed A. Abdel-Aty (IEEE Trans. Intell. Transp. Syst., 2012)

Utilizing Microscopic Traffic and Weather Data to Analyze Real-Time Crash Patterns in the Context of Active Traffic Management. - Rongjie Yu; Mohamed A. Abdel-Aty; Mohamed M. Ahmed; Xuesong Wang 006 (IEEE Trans. Intell. Transp. Syst., 2014)

Investigating macro-level hotzone identification and variable importance using big data: A random forest models approach. - Ximiao Jiang; Mohamed A. Abdel-Aty; Jia Hu 003; Jaeyoung Lee 001 (Neurocomputing, 2016)

Reducing real-time crash risk for congested expressway weaving segments using ramp metering. - Mohamed A. Abdel-Aty; Ling Wang (MT-ITS, 2017)

Developing a rear-end crash risk algorithm under fog conditions using real-time data. - Yina Wu; Mohamed A. Abdel-Aty; Juneyoung Park (MT-ITS, 2017)

The Climate Change-Road Safety-Economy Nexus: A System Dynamics Approach to Understanding Complex Interdependencies. - Mehdi Alirezaei; Nuri Cihat Onat; Omer Tatari; Mohamed A. Abdel-Aty (Syst., 2017)

Enhancing traffic safety at school zones by operation and engineering countermeasures: A microscopic simulation approach. - Md. Hasibur Rahman; Mohamed A. Abdel-Aty; Jaeyoung Lee 001; Md Sharikur Rahman (Simul. Model. Pract. Theory, 2019)

Enhancing In-Vehicle Driving Assistance Information Under Connected Vehicle Environment. - Juneyoung Park; Mohamed A. Abdel-Aty; Yina Wu; Ilaria Mattei (IEEE Trans. Intell. Transp. Syst., 2019)

Combined connected vehicles and variable speed limit strategies to reduce rear-end crash risk under fog conditions. - Yina Wu; Mohamed A. Abdel-Aty; Ling Wang; Md Sharikur Rahman (J. Intell. Transp. Syst., 2020)

The Practical Effectiveness of Advanced Driver Assistance Systems at Different Roadway Facilities: System Limitation, Adoption, and Usage. - Lishengsa Yue; Mohamed A. Abdel-Aty; Yina Wu; Ahmed Farid (IEEE Trans. Intell. Transp. Syst., 2020)

An Augmentation Function for Active Pedestrian Safety System Based on Crash Risk Evaluation. - Lishengsa Yue; Mohamed A. Abdel-Aty; Yina Wu; Jinghui Yuan (IEEE Trans. Veh. Technol., 2020)

Evaluation and augmentation of traffic data including Bluetooth detection system on arterials. - Yaobang Gong; Mohamed A. Abdel-Aty; Juneyoung Park (J. Intell. Transp. Syst., 2021)

Modeling Real-Time Cycle-Level Crash Risk at Signalized Intersections Based on High-Resolution Event-Based Data. - Jinghui Yuan; Mohamed A. Abdel-Aty; Lishengsa Yue; Qing Cai (IEEE Trans. Intell. Transp. Syst., 2021)

Real-time Emergency Vehicle Event Detection Using Audio Data. - Zubayer Islam; Mohamed A. Abdel-Aty (CoRR, 2022)

Deep Convolutional Neural Network for Roadway Incident Surveillance Using Audio Data. - Zubayer Islam; Mohamed A. Abdel-Aty (CoRR, 2022)

CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twins. - Ou Zheng; Mohamed A. Abdel-Aty; Lishengsa Yue; Amr Abdelraouf; Zijin Wang; Nada Mahmoud (CoRR, 2022)

Trajectory Prediction for Vehicle Conflict Identification at Intersections Using Sequence-to-Sequence Recurrent Neural Networks. - Amr Abdelraouf; Mohamed A. Abdel-Aty; Zijin Wang; Ou Zheng (CoRR, 2022)

Towards Next Generation of Pedestrian and Connected Vehicle In-the-loop Research: A Digital Twin Simulation Framework. - Zijin Wang; Ou Zheng; Liangding Li; Mohamed A. Abdel-Aty; Carolina Cruz-Neira; Zubayer Islam (CoRR, 2022)

Estimating cycle-level real-time traffic movements at signalized intersections. - Nada Mahmoud; Mohamed A. Abdel-Aty; Qing Cai; Jinghui Yuan (J. Intell. Transp. Syst., 2022)

Using Vision Transformers for Spatial-Context-Aware Rain and Road Surface Condition Detection on Freeways. - Amr Abdelraouf; Mohamed A. Abdel-Aty; Yina Wu (IEEE Trans. Intell. Transp. Syst., 2022)

Utilizing Attention-Based Multi-Encoder-Decoder Neural Networks for Freeway Traffic Speed Prediction. - Amr Abdelraouf; Mohamed A. Abdel-Aty; Jinghui Yuan (IEEE Trans. Intell. Transp. Syst., 2022)

A Deep Learning Approach to Detect Real-Time Vehicle Maneuvers Based on Smartphone Sensors. - Pei Li; Mohamed A. Abdel-Aty; Qing Cai; Zubayer Islam (IEEE Trans. Intell. Transp. Syst., 2022)

Pedestrian Crossing Intention Prediction at Red-Light Using Pose Estimation. - Shile Zhang; Mohamed A. Abdel-Aty; Yina Wu; Ou Zheng (IEEE Trans. Intell. Transp. Syst., 2022)

A Data-Driven and Human-Centric EV Charging Recommendation System at City-Scale. - Jingping Nie; Stephen Xia; Yanchen Liu; Shengxuan Ding; Lanxiang Hu; Minghui Zhao; Yuang Fan; Mohamed A. Abdel-Aty; Matthias Preindl; Xiaofan Jiang 001 (e-Energy, 2023)

ChatGPT Is on the Horizon: Could a Large Language Model Be All We Need for Intelligent Transportation? - Ou Zheng; Mohamed A. Abdel-Aty; Dongdong Wang; Zijin Wang; Shengxuan Ding (CoRR, 2023)

AVOID: Autonomous Vehicle Operation Incident Dataset Across the Globe. - Ou Zheng; Mohamed A. Abdel-Aty; Zijin Wang; Shengxuan Ding; Dongdong Wang; Yuxuan Huang (CoRR, 2023)

Advances and Applications of Computer Vision Techniques in Vehicle Trajectory Generation and Surrogate Traffic Safety Indicators. - Mohamed A. Abdel-Aty; Zijin Wang; Ou Zheng; Amr Abdelraouf (CoRR, 2023)

Using Connected Vehicle Trajectory Data to Evaluate the Effects of Speeding. - Jorge Ugan; Mohamed A. Abdel-Aty; Zubayer Islam (CoRR, 2023)

A Unified Approach to Lane Change Intention Recognition and Driving Status Prediction through TCN-LSTM and Multi-Task Learning Models. - Renteng Yuan; Mohamed A. Abdel-Aty; Xin Gu; Ou Zheng; Qiaojun Xiang (CoRR, 2023)

inTformer: A Time-Embedded Attention-Based Transformer for Crash Likelihood Prediction at Intersections Using Connected Vehicle Data. - B. M. Tazbiul Hassan Anik; Zubayer Islam; Mohamed A. Abdel-Aty (CoRR, 2023)

TrafficSafetyGPT: Tuning a Pre-trained Large Language Model to a Domain-Specific Expert in Transportation Safety. - Ou Zheng; Mohamed A. Abdel-Aty; Dongdong Wang; Chenzhu Wang; Shengxuan Ding (CoRR, 2023)

A Novel Temporal Multi-Gate Mixture-of-Experts Approach for Vehicle Trajectory and Driving Intention Prediction. - Renteng Yuan; Mohamed A. Abdel-Aty; Qiaojun Xiang; Zijin Wang; Ou Zheng (CoRR, 2023)

RF-Enhanced Road Infrastructure for Intelligent Transportation. - Dajiang Suo; Heyi Li; Rahul Bhattacharyya; Zijin Wang; Shengxuan Ding; Ou Zheng; Daniel Valderas; Joan Melià-Seguí; Mohamed A. Abdel-Aty; Sanjay E. Sarma (CoRR, 2023)

The University of Central Florida's Smart and Safe Transportation Lab [Its Research Lab]. - Yisheng Lv; Mohamed A. Abdel-Aty (IEEE Intell. Transp. Syst. Mag., 2023)

Sequence-to-Sequence Recurrent Graph Convolutional Networks for Traffic Estimation and Prediction Using Connected Probe Vehicle Data. - Amr Abdelraouf; Mohamed A. Abdel-Aty; Nada Mahmoud (IEEE Trans. Intell. Transp. Syst., 2023)

Towards Next Generation of Pedestrian and Connected Vehicle In-the-Loop Research: A Digital Twin Co-Simulation Framework. - Zijin Wang; Ou Zheng; Liangding Li; Mohamed A. Abdel-Aty; Carolina Cruz-Neira; Zubayer Islam (IEEE Trans. Intell. Veh., 2023)

Hybrid Functions Approach via Nonlinear Integral Equations with Symmetric and Nonsymmetrical Kernel in Two Dimensions. - Sahar M. Abusalim; Mohamed A. Abdou; Mohamed A. Abdel-Aty; Mohamed E. Nasr (Symmetry, 2023)

Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysis. - Maged Shoman; Dongdong Wang; Armstrong Aboah; Mohamed A. Abdel-Aty (CVPR Workshops, 2024)

Analytical and Numerical Approaches via Quadratic Integral Equations. - Jihan Alahmadi; Mohamed A. Abdou; Mohamed A. Abdel-Aty (Axioms, 2024)

Vehicle-group-based Crash Risk Formation and Propagation Analysis for Expressways. - Tianheng Zhu; Ling Wang; Yiheng Feng; Wanjing Ma; Mohamed A. Abdel-Aty (CoRR, 2024)

Video-to-Text Pedestrian Monitoring (VTPM): Leveraging Computer Vision and Large Language Models for Privacy-Preserve Pedestrian Activity Monitoring at Intersections. - Ahmed S. Abdelrahman; Mohamed A. Abdel-Aty; Dongdong Wang (CoRR, 2024)

Investigating the Effects of Human-Machine Interface on Cooperative Driving Using a Multi-Driver Co-Simulation Platform. - Zijin Wang; Mohamed A. Abdel-Aty; Lishengsa Yue; Jiahao Zhu; Ou Zheng; Mohamed H. Zaki (IEEE Trans. Intell. Veh., 2024)

A Temporal Multi-Gate Mixture-of-Experts Approach for Vehicle Trajectory and Driving Intention Prediction. - Renteng Yuan; Mohamed A. Abdel-Aty; Qiaojun Xiang; Zijin Wang; Xin Gu (IEEE Trans. Intell. Veh., 2024)

Deep Q-network learning-based active speed management under autonomous driving environments. - Kawon Kang; Nuri Park; Juneyoung Park; Mohamed A. Abdel-Aty (Comput. Aided Civ. Infrastructure Eng., 2024)

LSTM + Transformer Real-Time Crash Risk Evaluation Using Traffic Flow and Risky Driving Behavior Data. - Lei Han; Mohamed A. Abdel-Aty; Rongjie Yu; Chenzhu Wang (IEEE Trans. Intell. Transp. Syst., 2024)

Spatial Ensemble Distillation Learning for Large-Scale Real-Time Crash Prediction. - Md Rakibul Islam; Mohamed A. Abdel-Aty; Dongdong Wang; Zubayer Islam (IEEE Trans. Intell. Transp. Syst., 2024)

VRU-CIPI: Crossing Intention Prediction at Intersections for Improving Vulnerable Road Users Safety. - Ahmed S. Abdelrahman; Mohamed A. Abdel-Aty; Quoc Dai Tran (CVPR Workshops, 2025)

Video-to-Text Pedestrian Monitoring (VTPM): Leveraging Large Language Models for Privacy-Preserve Pedestrian Activity Monitoring at Intersections. - Ahmed S. Abdelrahman; Mohamed A. Abdel-Aty; Dongdong Wang (WACV (Workshops), 2025)

Towards Connected Smart Work Zones: Advancing Work Zone Management through Improved Connectivity. - Mariam Nour; Mohamed H. Zaki; Mohamed A. Abdel-Aty (CoRR, 2025)

Analytical and numerical treatment of a nonlinear Fredholm integral equation in two dimensions. - Jihan Alahmadi; Mohamed A. Abdou; Mohamed A. Abdel-Aty (J. Appl. Math. Comput., 2025)

Advanced Crash Causation Analysis for Freeway Safety: A Large Language Model Approach to Identifying Key Contributing Factors. - Ahmed S. Abdelrahman; Mohamed A. Abdel-Aty; Samgyu Yang; Abdulrahman Faden (CoRR, 2025)

Vehicle-Group-Based Crash Risk Prediction and Interpretation on Highways. - Tianheng Zhu; Ling Wang; Yiheng Feng; Wanjing Ma; Mohamed A. Abdel-Aty (IEEE Trans. Intell. Transp. Syst., 2025)

VRU-Accident: A Vision-Language Benchmark for Video Question Answering and Dense Captioning for Accident Scene Understanding. - Younggun Kim; Ahmed S. Abdelrahman; Mohamed A. Abdel-Aty (CoRR, 2025)