Pei Li

University of Central Florida

United States

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Articles (15)

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2025

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2025

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2024

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2020

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2020

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2020

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2020

Collaborators (8)

Jorge Ugan

University of Central Florida

UNITED STATES

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Zubayer Islam

University of Central Florida

UNITED STATES

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Shan Bao

Associate Professor

University of Michigan-Dearborn

UNITED STATES

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David A. Noyce

University of Wisconsin-Madison

UNITED STATES

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Amr Abdelraouf

University of Central Florida

UNITED STATES

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Mohamed Abdel-Aty

University of Central Florida

UNITED STATES

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Ou Zheng

University of Central Florida

UNITED STATES

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Sikai Chen

UNITED STATES

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Pei Li

Research Interests

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Articles (15)

A Digital Twin Framework for Physical-Virtual Integration in V2X-Enabled Connected Vehicle Corridors

Goal-based neural physics vehicle trajectory prediction model

Analyzing relationships between latent topics in autonomous vehicle crash narratives and crash severity using natural language processing techniques and explainable XGBoost

How Does C-V2X Perform in Urban Environments? Results From Real-World Experiments on Urban Arterials

Personalized lane departure warning based on non-stationary crossformer and kernel density estimation

Real-Time Big Data Analytics and Proactive Traffic Safety Management Visualization System

A Probabilistic Framework for Estimating the Risk of Pedestrian-Vehicle Conflicts at Intersections

Improving Spatiotemporal Transferability of Real-Time Crash Likelihood Prediction Models Using Transfer-Learning Approaches

Real-Time Crash Likelihood Prediction Using Temporal Attention–Based Deep Learning and Trajectory Fusion

A Deep Learning Approach to Detect Real-Time Vehicle Maneuvers Based on Smartphone Sensors

Using bus critical driving events as surrogate safety measures for pedestrian and bicycle crashes based on GPS trajectory data

⋆This paper has been handled by associate editor Tony Sze.The application of novel connected vehicles emulated data on real-time crash potential prediction for arterials

Prediction of Pedestrian Crossing Intentions at Intersections Based on Long Short-Term Memory Recurrent Neural Network

Real-time crash risk prediction on arterials based on LSTM-CNN

Prediction of pedestrian-vehicle conflicts at signalized intersections based on long short-term memory neural network

Collaborators (8)

Jorge Ugan

Zubayer Islam

Shan Bao

David A. Noyce

Amr Abdelraouf

Mohamed Abdel-Aty

Ou Zheng

Sikai Chen

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