Posts by Collection

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

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

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

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

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

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

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

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

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

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

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

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

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

Demystifying deep reinforcement learning-based autonomous vehicle decision-making

Enhancing Pedestrian Trajectory Prediction with Crowd Trip Information

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

Real-World Data Inspired Interactive Connected Traffic Scenario Generation

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

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

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

Goal-based neural physics vehicle trajectory prediction model

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

SEAL: Vision-Language Model-Based Safe End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling

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

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

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives

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

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

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

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

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

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

Multimodal AI and Transportation Reasoning

Evaluating and improving how multimodal models interpret traffic scenes, integrate viewpoints, and reason from observable evidence.

Transportation Safety and Spatiotemporal Learning

Learning traffic states and safety risks from incomplete observations, with attention to transferability and uncertainty.

Digital Twins and Cooperative Mobility

Connecting roadway sensing, learned representations, and simulation for transportation digital twins and cooperative mobility.

Connected Mobility

Breaking information silos among infrastructure, vehicles, and road users.

Human Machine Interface

Understanding the mechanisms that drive human perception and reaction to information.

Wisconsin Highway Delay Causation Study

Measuring recurrent and non-recurrent highway delay in Wisconsin and examining associated contributing factors.

Paper Title Number 1

Published in Journal 1, 2009

This paper is about the number 1. The number 2 is left for future work.

Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf

Paper Title Number 2

Published in Journal 1, 2010

This paper is about the number 2. The number 3 is left for future work.

Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf

Paper Title Number 3

Published in Journal 1, 2015

This paper is about the number 3. The number 4 is left for future work.

Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf

Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!

Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

More information here

Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

More information here

Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.