Publications
Last updated: September 10, 2024
Under Review
[J13] Deep Activity Model: A Generative Approach for Human Mobility Pattern Synthesis
Submitted to IEEE Transactions on Intelligent Transportation Systems
2024
[J12] A Review of Personalization in Driving Behavior: Dataset, Modeling, and Validation
IEEE Transactions on Intelligent Vehicles (Early Access)
[J11] Game Theoretic Application to Intersection Management: A Literature Review
IEEE Transactions on Intelligent Vehicles (Early Access)
[J10] Mobility AI Agents and Networks
IEEE Transactions on Intelligent Vehicles, vol. 9, no. 7, pp. 5124-5129
[J9] Foundation Intelligence for Smart Infrastructure Services in Transportation 5.0
IEEE Transactions on Intelligent Vehicles, vol. 9, no. 1, pp. 39-47
[C19] NUMOSIM: A Synthetic Mobility Dataset with Anomaly Detection Benchmarks
32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
[C18] Semantic Trajectory Data Mining with LLM-Informed POI Classification
IEEE 27th International Conference on Intelligent Transportation Systems (Best Paper Award)
[C17] Reconstructing Human Mobility Pattern: A Semi-Supervised Approach for Cross-Dataset Transfer Learning
Transportation Research Board 104th Annual Meeting
[C16] Human Mobility Modeling with Limited Information via Large Language Models
Transportation Research Board 104th Annual Meeting
[C15] An Attention-Based Multi-Context Convolutional Encoder-Decoder Neural Network for Work Zone Traffic Impact Prediction
Transportation Research Board 104th Annual Meeting
[P1] Profile modeling
U.S. patent application 17/869,426, Published Jan. 2024
2023
[J8] Driver Digital Twin for Online Prediction of Personalized Lane Change Behavior
IEEE Internet of Things Journal, vol. 10, no. 15, pp. 13235–13246
[J7] A Real-World Data-Driven Approach for Estimating Environmental Impacts of Traffic Accidents
Transportation Research Part D: Transport and Environment, vol. 117, p. 103664
[C14] Deep Activity Model: A Generative Deep Learning Approach for Human Mobility Pattern Synthesis
Transportation Research Board 103rd Annual Meeting
[C13] Exploring Vehicular Interaction from Trajectories Based on Granger Causality
IEEE Intelligent Vehicles Symposium (IV)
[C12] Inverse Reinforcement Learning and Gaussian Process Regression-based Real-time Framework for Personalized Adaptive Cruise Control
IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
[C11] Improving Truck Merging at Ramps in a Mixed Traffic Environment: A Multi-human-in-the-loop (MHuiL) Approach
IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
[C10] Real-time Learning of Driving Gap Preference for Personalized Adaptive Cruise Control
IEEE International Conference on Systems, Man, and Cybernetics (SMC)
[C9] Driver Digital Twin for Online Prediction of Personalized Lane Change Behavior
Transportation Research Board 102nd Annual Meeting
2022
[J6] Evaluating Cybersecurity Risks of Cooperative Ramp Merging in Mixed Traffic Environments
IEEE Intelligent Transportation Systems Magazine, vol. 14, no. 6, pp. 52-65
[J5] Game Theory-Based Ramp Merging for Mixed Traffic with Unity-SUMO Co-Simulation
IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, no. 9, pp. 5746–5757
[J4] Cooperative Ramp Merging Design and Field Implementation: A Digital Twin Approach Based on Vehicle-to-Cloud Communication
IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 5, pp. 4490–4500
[J3] Co-Simulation Platform for Modeling and Evaluating Connected and Automated Vehicles and Human Behavior in Mixed Traffic
SAE International Journal of Connected and Automated Vehicles, vol. 5, no. 4
[J2] A Systematic Review of Autonomous Emergency Braking System: Impact Factor, Technology, and Performance Evaluation
Journal of Advanced Transportation, vol. 2022, Article ID 1188089
[C8] Driver Profile Modeling Based on Driving Style, Personality Traits, and Mood States
IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
[C7] Online Prediction of Lane Change with a Hierarchical Learning-Based Approach
International Conference on Robotics and Automation (ICRA)
[C6] Estimating the Impacts of Automatic Emergency Braking Technology on Traffic Energy and Emissions
Transportation Research Board 101st Annual Meeting
2021
[C5] A Game Theory Based Ramp Merging Strategy for Connected and Automated Vehicles in the Mixed Traffic: A Unity-SUMO Integrated Platform
Transportation Research Board 100th Annual Meeting
2020
[J1] Driver Behavior Modeling using Game Engine and Real Vehicle: A Learning-Based Approach
IEEE Transactions on Intelligent Vehicles, vol. 5, no. 4, pp. 738–749
[C3] Cooperative Ramp Merging with Vehicle-to-Cloud Communications: A Field Experiment
Transportation Research Board 99th Annual Meeting
[C2] End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning
Transportation Research Board 99th Annual Meeting
[C1] A Digital Twin Paradigm: Vehicle-to-Cloud Based Advanced Driver Assistance Systems
IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
Book Chapter
[B1] Driver Behavior-Aware Cooperative Ramp Merging for Intelligent Vehicles
Towards Human-Vehicle Harmonization, vol. 3, pp. 193 – 210, De Gruyter
Technical Reports
[R2] Connectivity-Based Cooperative Ramp Merging in Multimodal and Mixed Traffic Environment
METRANS Transportation Center in California, 2022
[R1] Estimating the Impacts of Automatic Emergency Braking (AEB) Technology on Traffic Energy and Emissions
Pacific Southwest Region University Transportation Center (UTC), 2021