Kun Gao

Orcid: 0000-0002-4175-850X

Affiliations:
  • Chalmers University of Technology, CTH, Department of Architecture and Civil Engineering, Gothenburg, Sweden
  • Tongji University, Shanghai, China (PhD 2019)


According to our database1, Kun Gao authored at least 12 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
A multi-perspective fusion model for operating speed prediction on highways using knowledge-enhanced graph neural networks.
Comput. Aided Civ. Infrastructure Eng., March, 2025

Temporal Finite-Time Adaptation in Controlling Quantized Nonlinear Systems Amidst Time-Varying Output Constraints.
IEEE Trans Autom. Sci. Eng., 2025

Probabilistic Prediction of Longitudinal Trajectory Considering Driving Heterogeneity With Interpretability.
IEEE Intell. Transp. Syst. Mag., 2025

2024
An intelligent optimization method for the facility environment on rural roads.
Comput. Aided Civ. Infrastructure Eng., September, 2024

Enhancing State Representation in Multi-Agent Reinforcement Learning for Platoon-Following Models.
IEEE Trans. Veh. Technol., August, 2024

A Human-Like Visual Perception System for Autonomous Vehicles Using a Neuron-Triggered Hybrid Unsupervised Deep Learning Method.
IEEE Trans. Intell. Transp. Syst., July, 2024

Generative Edge Intelligence for IoT-Assisted Vehicle Accident Detection: Challenges and Prospects.
IEEE Internet Things Mag., May, 2024

Deep Demand Prediction: An Enhanced Conformer Model With Cold-Start Adaptation for Origin-Destination Ride-Hailing Demand Prediction.
IEEE Intell. Transp. Syst. Mag., 2024

2023
Adaptive Collision-Free Trajectory Tracking Control for String Stable Bidirectional Platoons.
IEEE Trans. Intell. Transp. Syst., November, 2023

A Context-Aware Framework for Risky Driving Behavior Evaluation Based on Trajectory Data.
IEEE Intell. Transp. Syst. Mag., 2023

2021
Extrapolation-enhanced model for travel decision making: An ensemble machine learning approach considering behavioral theory.
Knowl. Based Syst., 2021

2020
Will Autonomous Vehicles Improve Traffic Efficiency and Safety in Urban Road Bottlenecks? The Penetration Rate Matters.
Proceedings of the 5th IEEE International Conference on Intelligent Transportation Engineering, 2020


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