Integrated Cooperative Adaptive Cruise and Variable Speed Limit Controls for Reducing Rear-End Collision Risks Near Freeway Bottlenecks Based on Micro-Simulations. - Ye Li 017; Chengcheng Xu 001; Lu Xing; Wei Wang 044 (IEEE Trans. Intell. Transp. Syst., 2017)

Route Control Strategies for Autonomous Vehicles Exiting to Off-Ramps. - Changyin Dong; Hao Wang 059; Ye Li 017; Wei Wang 044; Zhe Zhang 045 (IEEE Trans. Intell. Transp. Syst., 2020)

Lane-changing trajectory control strategy on fuel consumption in an iterative learning framework. - Changyin Dong; Ye Li 017; Hao Wang 059; Ran Tu; Yujia Chen; Daiheng Ni; Yunjie Liu (Expert Syst. Appl., 2023)

Developing a Dynamic Speed Control System for Mixed Traffic Flow to Reduce Collision Risks Near Freeway Bottlenecks. - Ye Li 017; Bin Pan; Zhibin Chen 001; Lu Xing (IEEE Trans. Intell. Transp. Syst., 2023)

A Merging Strategy Framework for Connected and Automated Vehicles in Multi-Lane Mixed Traffic Scenarios. - Ye Li 017; Yunyu Zhang; Yingyue Ma (IEEE Access, 2024)

Evaluating impact of remote-access cyber-attack on lane changes for connected automated vehicles. - Changyin Dong; Yujia Chen; Hao Wang 059; Leizhen Wang; Ye Li 017; Daiheng Ni; De Zhao; Xuedong Hua (Digit. Commun. Networks, 2024)

A hybrid deep learning framework for conflict prediction of diverse merge scenarios at roundabouts. - Ye Li 017; Chang Ge 009; Lu Xing; Chen Yuan 015; Fei Liu; Jieling Jin (Eng. Appl. Artif. Intell., 2024)

A Deep Learning Framework to Explore Influences of Data Noises on Lane-Changing Intention Prediction. - Ye Li 017; Fei Liu; Lu Xing; Chen Yuan 015; Dan Wu (IEEE Trans. Intell. Transp. Syst., 2024)

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 017; Yuxuan Dong; Gongquan Zhang; Jiguang Chen (Expert Syst. Appl., 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 059; Ning Xie; Ye Li 017; Changyin Dong (Expert Syst. Appl., 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 004; Ye Li 017 (IEEE Internet Things J., 2025)

A Hazardous Lane-Changing Scenario Search Approach Based on Adaptive Random Testing for Automated Vehicles. - Ye Li 017; Fanming Zeng; Jieling Jin; Helai Huang (IEEE Trans. Intell. Veh., 2025)

Analysis of Influencing Factors of Lane Change Prediction With Data Missing. - Ye Li 017; Le Yu; Lu Xing; Fei Liu (IEEE Trans. Intell. Veh., 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 017; Yujia Chen; Hao Wang 059 (J. Intell. Transp. Syst., 2025)

Developing Merging Policies for CAVs: A Policy Training Framework Combining Human Experience With Reinforcement Learning. - Yingyue Ma; Ye Li 017; Zuduo Zheng; Helai Huang (IEEE Trans. Intell. Veh., 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 017; Helai Huang; Jianjun Dai (IEEE Internet Things J., 2025)

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 017; Lin Huang; Lu Xing; Rui Zhou (IEEE Internet Things J., 2026)