Papers

Journal articles, conference papers, and preprints. See also Google Scholar.

2026

SEAL: Vision-language model-based Safe End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling

You et al. 2026. Accid. Anal. Prev.

Research figure for SEAL: Vision-language model-based Safe End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling

Real-time lane-level abnormal traffic detection on freeways using sparse telematics data

Liang et al. 2026. Accid. Anal. Prev.

Research figure for Real-time lane-level abnormal traffic detection on freeways using sparse telematics data

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety

Zhu et al. 2026. arXiv preprint.

Research figure for Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety

Geometry-Aware Infrastructure-Anchored Denoiser for UWB Sensing and Work-Zone Reconstruction

Tang et al. 2026. arXiv preprint.

Research figure for Geometry-Aware Infrastructure-Anchored Denoiser for UWB Sensing and Work-Zone Reconstruction

CrashSight: A Phase-Aware, Infrastructure-Centric Video Benchmark for Traffic Crash Scene Understanding and Reasoning

Gan et al. 2026. CVPR Workshops.

Research figure for CrashSight: A Phase-Aware, Infrastructure-Centric Video Benchmark for Traffic Crash Scene Understanding and Reasoning

Behavior-Grounded Lane Representation Learning for Multi-Task Traffic Digital Twins

Tamaru et al. 2026. arXiv preprint.

Research figure for Behavior-Grounded Lane Representation Learning for Multi-Task Traffic Digital Twins

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives

Ma et al. 2026. arXiv preprint.

Research figure for An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives

Real-time identification of cooperative perception necessity in road traffic scenarios

Ma et al. 2026. Transp. Res. C.

Research figure for Real-time identification of cooperative perception necessity in road traffic scenarios

V2X-QA: A Comprehensive Reasoning Dataset and Benchmark for Multimodal Large Language Models in Autonomous Driving Across Ego, Infrastructure, and Cooperative Views

You et al. 2026. arXiv preprint.

Research figure for V2X-QA: A Comprehensive Reasoning Dataset and Benchmark for Multimodal Large Language Models in Autonomous Driving Across Ego, Infrastructure, and Cooperative Views

2025

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection

Tamaru et al. 2025. arXiv preprint.

Research figure for Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection

Goal-based neural physics vehicle trajectory prediction model

Gan et al. 2025. Transp. Res. C.

Research figure for Goal-based neural physics vehicle trajectory prediction model

AI-Enabled Digital Twin Framework for Safe and Sustainable Intelligent Transportation

Long et al. 2025. Sustainability.

Research figure for AI-Enabled Digital Twin Framework for Safe and Sustainable Intelligent Transportation

Sky-Drive: A distributed multiagent simulation platform for human–AI collaborative and socially aware future transportation

Huang et al. 2025. J. Intell. Connect. Veh.

Research figure for Sky-Drive: A distributed multiagent simulation platform for human–AI collaborative and socially aware future transportation

Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language Models

Gan et al. 2025. arXiv preprint.

Research figure for Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language Models

V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors

Wu et al. 2025. arXiv preprint.

Research figure for V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors

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

Wu et al. 2025. IEEE Trans. Intell. Transp. Syst.

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

A distributed deep reinforcement learning-based longitudinal control strategy for connected automated vehicles combining attention mechanism

Liu et al. 2025. Transp. Lett.

Research figure for A distributed deep reinforcement learning-based longitudinal control strategy for connected automated vehicles combining attention mechanism

2024

Enhancing Pedestrian Trajectory Prediction with Crowd Trip Information

Tamaru et al. 2024. arXiv preprint.

Research figure for Enhancing Pedestrian Trajectory Prediction with Crowd Trip Information

Demystifying deep reinforcement learning-based autonomous vehicle decision-making

Wan et al. 2024. arXiv preprint.

Research figure for Demystifying deep reinforcement learning-based autonomous vehicle decision-making

Real-World Data Inspired Interactive Connected Traffic Scenario Generation

You et al. 2024. arXiv preprint.

Research figure for Real-World Data Inspired Interactive Connected Traffic Scenario Generation

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

Yin et al. 2024. Alexandria Eng. J.

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

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

Li et al. 2024. Accid. Anal. Prev.

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

2023

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

Li et al. 2023. IEEE Trans. Intell. Veh.

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

Why did the AI make that decision? Towards an explainable artificial intelligence (XAI) for autonomous driving systems

Dong et al. 2023. Transp. Res. C.

Research figure for Why did the AI make that decision? Towards an explainable artificial intelligence (XAI) for autonomous driving systems

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

Li et al. 2023. IEEE Trans. Intell. Transp. Syst.

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

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

Abdel-Aty et al. 2023. J. Transp. Eng. A.

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

2022

A Hybrid Machine Learning Model for Predicting Real-time Secondary Crash Likelihood

Li and Abdel-Aty 2022. Accid. Anal. Prev.

Research figure for A Hybrid Machine Learning Model for Predicting Real-time Secondary Crash Likelihood

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

Li and Abdel-Aty 2022. J. Transp. Eng. A.

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

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

Li et al. 2022. Transp. Res. Rec.

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

2021

Driving Maneuvers Detection using Semi-Supervised Long Short-Term Memory and Smartphone Sensors

Li et al. 2021. Transp. Res. Rec.

Research figure for Driving Maneuvers Detection using Semi-Supervised Long Short-Term Memory and Smartphone Sensors

2020

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

Li et al. 2020. Accid. Anal. Prev.

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

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

Li et al. 2020. IEEE Trans. Intell. Transp. Syst.

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

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

Zhang et al. 2020. Accid. Anal. Prev.

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

The application of novel connected vehicles emulated data on real-time crash potential prediction for arterials

Li et al. 2020. Accid. Anal. Prev.

Research figure for 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

Zhang et al. 2020. Transp. Res. Rec.

Research figure for 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

Li et al. 2020. Accid. Anal. Prev.

Research figure for Real-time crash risk prediction on arterials based on LSTM-CNN