01 Automated Mobility Intelligence
Interaction modeling and reasoning; motion prediction, planning, and control; mixed traffic safety analysis.
Research Interests
02 Digital Twins & Cyber-Physical Systems
Digital twin simulation; physical-virtual integration; human/traffic dynamics modeling; scenario generation.
03 Spatiotemporal AI
Spatiotemporal reconstruction and forecasting; geospatial network modeling; sparse-sensing data fusion.
04 Connected Infrastructure Systems
V2X communication data pipeline; connected corridor analytics; integrated vehicle-road-cloud architecture.
05 LLM-augmented Mobility
LLM and VLM reasoning; generative scenario and behavior synthesis; mobility decision intelligence.
2026
arXivLearning Higher-Order Structure from Incomplete Spatiotemporal Data: Multi-Scale Hypergraph Laplacians with Neural Refinement
Wu, K., Li, S., Li, Z., Fan, Z., Li, X., Zhou, Y.
Under Review (2026)
# spatiotemporal imputation # hypergraph learning # higher-order structure
arXiv
Learning Higher-Order Structure from Incomplete Spatiotemporal Data: Multi-Scale Hypergraph Laplacians with Neural Refinement
Wu, K., Li, S., Li, Z., Fan, Z., Li, X., Zhou, Y.
Under Review 2026
# spatiotemporal imputation # hypergraph learning # higher-order structure
arXivKnowledge Is Not Static: Order-Aware Hypergraph RAG for Language Models
Wu, K., Kuai, C., Li, Z., Jiang, J., Shen, S., Wang, S., Hu, C., Tu, Z., Zhou, Y.
Under Review (2026)
# knowledge graph # hypergraph # RAG # LLM
arXiv
Knowledge Is Not Static: Order-Aware Hypergraph RAG for Language Models
Wu, K., Kuai, C., Li, Z., Jiang, J., Shen, S., Wang, S., Hu, C., Tu, Z., Zhou, Y.
Under Review 2026
# knowledge graph # hypergraph # RAG # LLM
Under ReviewA Deep Learning Enabled Economical Informatization Framework with Sparsely Located Sensors
Wu, K., Zhou, Y., Li, X., Ye, X., Tu, Z.
Under Review (2026)
# inductive learning # hybrid sensor network # graph transformer
Under Review
A Deep Learning Enabled Economical Informatization Framework with Sparsely Located Sensors
Wu, K., Zhou, Y., Li, X., Ye, X., Tu, Z.
Under Review 2026
# inductive learning # hybrid sensor network # graph transformer
Under ReviewV2XSynth: An LLM-Driven, Retrieval-Augmented Framework for Realistic V2X Scenario Synthesis
Wu, K., Zhang, H., Li, P., Gan, R., You, J., Tu, Z., Zhou, Y.
Under Review (2026)
# LLM # RAG # V2X # scenario generation
Under Review
V2XSynth: An LLM-Driven, Retrieval-Augmented Framework for Realistic V2X Scenario Synthesis
Wu, K., Zhang, H., Li, P., Gan, R., You, J., Tu, Z., Zhou, Y.
Under Review 2026
# LLM # RAG # V2X # scenario generation
arXivAI²-Active Safety: AI-enabled Interaction-aware Active Safety Analysis with Vehicle Dynamics
Wu, K., Li, Z., Li, S., Ye, X., Lord, D., Zhou, Y.
Under Review (2026)
# active safety # vehicle dynamics # hypergraph
arXiv
AI²-Active Safety: AI-enabled Interaction-aware Active Safety Analysis with Vehicle Dynamics
Wu, K., Li, Z., Li, S., Ye, X., Lord, D., Zhou, Y.
Under Review 2026
# active safety # vehicle dynamics # hypergraph
arXivV2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors
Wu, K., Li, P., Zhou, Y., Gan, R., You, J., Cheng, Y., Zhu, J., Parker, S. T., Noyce, D., Ran, B., Tu, Z.
Under Review (2026)
# LLM # V2X
arXiv
V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors
Wu, K., Li, P., Zhou, Y., Gan, R., You, J., Cheng, Y., Zhu, J., Parker, S. T., Noyce, D., Ran, B., Tu, Z.
Under Review 2026
# LLM # V2X
TR-CV2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision Language Models
You, J., Shi, H., Jiang, Z., Huang, Z., Gan, R., Wu, K., Cheng, X., Li, X., Ran, B.
Transportation Research Part C: Emerging Technologies (2026)
# VLM # V2X # trajectory planning
TR-C
V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision Language Models
You, J., Shi, H., Jiang, Z., Huang, Z., Gan, R., Wu, K., Cheng, X., Li, X., Ran, B.
Transportation Research Part C: Emerging Technologies 2026
# VLM # V2X # trajectory planning
2025
COMMTRFollowGen: A Scaled Noise Conditional Diffusion Model for Car-Following Trajectory Prediction
You, J., Gan, R., Tang, W., Huang, Z., Liu, J., Jiang, Z., Shi, H.,, Wu, K., Long, K., Fu, S., Chen, S., Ran, B.
Communications in Transportation Research (2025)
# trajectory prediction # diffusion models # car-following
COMMTR
FollowGen: A Scaled Noise Conditional Diffusion Model for Car-Following Trajectory Prediction
You, J., Gan, R., Tang, W., Huang, Z., Liu, J., Jiang, Z., Shi, H.,, Wu, K., Long, K., Fu, S., Chen, S., Ran, B.
Communications in Transportation Research 2025
# trajectory prediction # diffusion models # car-following
IEEE IoT-JVirtual Roads, Smarter Safety: A Digital Twin Framework for Mixed Autonomous Traffic Analysis
Zhang, H., Yue, X., Tian, K., Li, S., Wu, K., Li, Z.,, Lord, D., Zhou, Y.
IEEE Internet of Things Journal (2025)
# digital twin # active safety # autonomous vehicle # high-fidelity simulation
IEEE IoT-J
Virtual Roads, Smarter Safety: A Digital Twin Framework for Mixed Autonomous Traffic Analysis
Zhang, H., Yue, X., Tian, K., Li, S., Wu, K., Li, Z.,, Lord, D., Zhou, Y.
IEEE Internet of Things Journal 2025
# digital twin # active safety # autonomous vehicle # high-fidelity simulation
TR-CHypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning
Wu, K., Zhou, Y., Shi, H., Lord, D., Ran, B., Ye, X.
Transportation Research Part C: Emerging Technologies (2025)
# hypergraph # interaction # multi-modality
TR-C
Hypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning
Wu, K., Zhou, Y., Shi, H., Lord, D., Ran, B., Ye, X.
Transportation Research Part C: Emerging Technologies 2025
# hypergraph # interaction # multi-modality
IEEE IoT-JA Predictive Deep Reinforcement Learning Based Connected Automated Vehicle Anticipatory Longitudinal Control in a Mixed Traffic Lane Change Condition
Shi, H., Shi, K., Wu, K., Li, W., Zhou, Y., Ran, B.
IEEE Internet of Things Journal (2025)
# DRL # CAV # predictive control
IEEE IoT-J
A Predictive Deep Reinforcement Learning Based Connected Automated Vehicle Anticipatory Longitudinal Control in a Mixed Traffic Lane Change Condition
Shi, H., Shi, K., Wu, K., Li, W., Zhou, Y., Ran, B.
IEEE Internet of Things Journal 2025
# DRL # CAV # predictive control
TR-CGoal-based neural physics vehicle trajectory prediction model
Gan, R., Shi, H., Li, P., Wu, K., An, B., Li, L., Ma, J., Ma, C., Ran, B.
Transportation Research Part C: Emerging Technologies (2025)
# trajectory prediction # neural differential equations # transformer
TR-C
Goal-based neural physics vehicle trajectory prediction model
Gan, R., Shi, H., Li, P., Wu, K., An, B., Li, L., Ma, J., Ma, C., Ran, B.
Transportation Research Part C: Emerging Technologies 2025
# trajectory prediction # neural differential equations # transformer
IEEE T-ITSA Digital Twin Framework for Physical-Virtual Integration in Enhancing Connected Vehicle Corridor Data Pipeline
Wu, K., Li, P., Cheng, Y., Parker, S. T., Noyce, D.,, Ran, B., Ye, X.
IEEE Transactions on Intelligent Transportation Systems (2025)
# digital twin # V2X # connected vehicle corridor
IEEE T-ITS
A Digital Twin Framework for Physical-Virtual Integration in Enhancing Connected Vehicle Corridor Data Pipeline
Wu, K., Li, P., Cheng, Y., Parker, S. T., Noyce, D.,, Ran, B., Ye, X.
IEEE Transactions on Intelligent Transportation Systems 2025
# digital twin # V2X # connected vehicle corridor
2024
IEEE T-IVHow Does C-V2X Perform in Urban Environments? Results From Real-World Experiments on Urban Arterials
Li, P., Wu, K., Cheng, Y., Parker, S. T., Noyce, D. A.
IEEE Transactions on Intelligent Vehicles (2024)
# V2X # V2I # field experiment
IEEE T-IV
How Does C-V2X Perform in Urban Environments? Results From Real-World Experiments on Urban Arterials
Li, P., Wu, K., Cheng, Y., Parker, S. T., Noyce, D. A.
IEEE Transactions on Intelligent Vehicles 2024
# V2X # V2I # field experiment
IEEE T-IVGraph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction Using Diffusion Graph Convolutional Networks
Wu, K., Zhou, Y., Shi, H., Li, X., Ran, B.
IEEE Transactions on Intelligent Vehicles (2024)
# GNN # interaction # mutli-modality
IEEE T-IV
Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction Using Diffusion Graph Convolutional Networks
Wu, K., Zhou, Y., Shi, H., Li, X., Ran, B.
IEEE Transactions on Intelligent Vehicles 2024
# GNN # interaction # mutli-modality
2023
KBSPhysics-informed deep reinforcement learning-based integrated two-dimensional car-following control strategy for connected automated vehicles
Shi, H., Zhou, Y., Wu, K., Chen, S., Ran, B., Nie, Q.
Knowledge-Based Systems (2023)
# DRL # CAV # 2D control
KBS
Physics-informed deep reinforcement learning-based integrated two-dimensional car-following control strategy for connected automated vehicles
Shi, H., Zhou, Y., Wu, K., Chen, S., Ran, B., Nie, Q.
Knowledge-Based Systems 2023
# DRL # CAV # 2D control
ASCE ICTDDevelopment of the Data Pipeline for a Connected Vehicle Corridor
Wu, K., Cheng, Y., Parker, S. T., Ran, B., Noyce, D. A.
ASCE International Conference on Transportation and Development 2023 (2023)
# data pipeline # connected vehicle # v2x corridor
ASCE ICTD
Development of the Data Pipeline for a Connected Vehicle Corridor
Wu, K., Cheng, Y., Parker, S. T., Ran, B., Noyce, D. A.
ASCE International Conference on Transportation and Development 2023 2023
# data pipeline # connected vehicle # v2x corridor
2022
TRRWork zone crash occurrence prediction based on planning stage work zone configurations using an artificial neural network
Cheng, Y., Wu, K., Li, H., Parker, S., Ran, B., Noyce, D.
Transportation research record (2022)
# crash prediction # work zone
TRR
Work zone crash occurrence prediction based on planning stage work zone configurations using an artificial neural network
Cheng, Y., Wu, K., Li, H., Parker, S., Ran, B., Noyce, D.
Transportation research record 2022
# crash prediction # work zone
2021
TR-CConnected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment
Shi, H., Zhou, Y., Wu, K., Wang, X., Lin, Y., Ran, B.
Transportation Research Part C: Emerging Technologies (2021)
# DRL # CAV # cooperative control
TR-C
Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment
Shi, H., Zhou, Y., Wu, K., Wang, X., Lin, Y., Ran, B.
Transportation Research Part C: Emerging Technologies 2021
# DRL # CAV # cooperative control
Ongoing Research
Traj-WMoE: A World-Model-Driven Mixture-of-Experts for Multi-Agent Scenario and Trajectory Prediction
# trajectory prediction # world model # mixture of experts
Traj-WMoE: A World-Model-Driven Mixture-of-Experts for Multi-Agent Scenario and Trajectory Prediction
# trajectory prediction # world model # mixture of experts
Digital Cousins for Transportation and Urban Mobility: A Comprehensive Review of Paradigms, Architectures, and Applications
# digital twins # digital cousins # urban mobility
Digital Cousins for Transportation and Urban Mobility: A Comprehensive Review of Paradigms, Architectures, and Applications
# digital twins # digital cousins # urban mobility
Vision-Language Control for Safe Autonomous Driving
# vision language model # autonomous driving # safe control
Vision-Language Control for Safe Autonomous Driving
# vision language model # autonomous driving # safe control