Ye Li

According to our database, Ye Li authored at least 17 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Enhancing Generation Quality of Multivehicle Interaction Scenarios for Connected and Automated Vehicles' Testing: A Novel Physical Constraint-Based Time-Series Generative Adversarial Network.

Ye Li, Lin Huang, Lu Xing, Rui Zhou

IEEE Internet Things J., 2026

2025

A Connected-Automated Vehicles-Based Dynamic Speed Limit Control Strategy for Improving Safety and Efficiency of Freeway Tunnels: An Augmented Lagrange Safe Reinforcement Learning Framework.

Jieling Jin, Ye Li, Helai Huang, Jianjun Dai

IEEE Internet Things J., July, 2025

Developing Merging Policies for CAVs: A Policy Training Framework Combining Human Experience With Reinforcement Learning.

Yingyue Ma, Ye Li, Zuduo Zheng, Helai Huang

IEEE Trans. Intell. Veh., May, 2025

An anti-disturbance lane-changing trajectory tracking control method combining extended Kalman filter and robust tube-based model predictive control.

Fangzhi Yin, Changyin Dong, Ye Li, Yujia Chen, Hao Wang

J. Intell. Transp. Syst., May, 2025

Analysis of Influencing Factors of Lane Change Prediction With Data Missing.

Ye Li, Le Yu, Lu Xing, Fei Liu

IEEE Trans. Intell. Veh., April, 2025

A Hazardous Lane-Changing Scenario Search Approach Based on Adaptive Random Testing for Automated Vehicles.

Ye Li, Fanming Zeng, Jieling Jin, Helai Huang

IEEE Trans. Intell. Veh., January, 2025

Extraction and Generation of Cooperative Driving Scenarios by Developing a Diffusion-Transformer-Wavelet Model.

Shan Tian, Jipu Li, Rui Zhou, Helai Huang, Tiantian Wang, Ye Li

IEEE Internet Things J., 2025

Modelling and simulation of mixed traffic flow with dedicated lanes for connected automated vehicles.

Zhuozhi Xiong, Pei Hu, Ni Li, Xu Chen, Wang Chen, Hao Wang, Ning Xie, Ye Li, Changyin Dong

Expert Syst. Appl., 2025

Variable speed limit control strategy for freeway tunnels based on a multi-objective deep reinforcement learning framework with safety perception.

Jieling Jin, Helai Huang, Ye Li, Yuxuan Dong, Gongquan Zhang, Jiguang Chen

Expert Syst. Appl., 2025

2024

A Deep Learning Framework to Explore Influences of Data Noises on Lane-Changing Intention Prediction.

Ye Li, Fei Liu, Lu Xing, Chen Yuan, Dan Wu

IEEE Trans. Intell. Transp. Syst., July, 2024

A hybrid deep learning framework for conflict prediction of diverse merge scenarios at roundabouts.

Ye Li, Chang Ge, Lu Xing, Chen Yuan, Fei Liu, Jieling Jin

Eng. Appl. Artif. Intell., 2024

Evaluating impact of remote-access cyber-attack on lane changes for connected automated vehicles.

Changyin Dong, Yujia Chen, Hao Wang, Leizhen Wang, Ye Li, Daiheng Ni, De Zhao, Xuedong Hua

Digit. Commun. Networks, 2024

A Merging Strategy Framework for Connected and Automated Vehicles in Multi-Lane Mixed Traffic Scenarios.

Ye Li, Yunyu Zhang, Yingyue Ma

IEEE Access, 2024

2023

Developing a Dynamic Speed Control System for Mixed Traffic Flow to Reduce Collision Risks Near Freeway Bottlenecks.

Ye Li, Bin Pan, Zhibin Chen, Lu Xing

IEEE Trans. Intell. Transp. Syst., November, 2023

Lane-changing trajectory control strategy on fuel consumption in an iterative learning framework.

Changyin Dong, Ye Li, Hao Wang, Ran Tu, Yujia Chen, Daiheng Ni, Yunjie Liu

Expert Syst. Appl., October, 2023

2020

Route Control Strategies for Autonomous Vehicles Exiting to Off-Ramps.

Changyin Dong, Hao Wang, Ye Li, Wei Wang, Zhe Zhang

IEEE Trans. Intell. Transp. Syst., 2020

2017

Integrated Cooperative Adaptive Cruise and Variable Speed Limit Controls for Reducing Rear-End Collision Risks Near Freeway Bottlenecks Based on Micro-Simulations.

Ye Li, Chengcheng Xu, Lu Xing, Wei Wang

IEEE Trans. Intell. Transp. Syst., 2017