Simulation and optimization of angle characteristic model for steer by wire system. - Wei Yuan; Rui Fu; Yingshi Guo; Yajun Zhu (FSKD, 2010)

Improved Car-Following Strategy Based on Merging Behavior Prediction of Adjacent Vehicle From Naturalistic Driving Data. - Yingshi Guo; Qinyu Sun; Rui Fu; Chang Wang 002 (IEEE Access, 2019)

The Impact of Cognitive Distraction on Driver Perception Response Time Under Different Levels of Situational Urgency. - Zhi Zhang; Yingshi Guo; Wei Yuan; Chang Wang 002 (IEEE Access, 2019)

Factors Influencing the User Acceptance of Automated Vehicles Based on Vehicle-Road Collaboration. - Mingyang Deng; Yingshi Guo; Rui Fu; Chang Wang 002 (IEEE Access, 2020)

Do situational or cognitive factors contribute more to risky driving? A simulated driving study. - Zhi Zhang; Yingshi Guo; Rui Fu; Wei Yuan; Guosong Yang (Cogn. Technol. Work., 2020)

Cyclist detection and tracking based on multi-layer laser scanner. - Mingfang Zhang 001; Rui Fu; Yingshi Guo; Li Wang 034; Pangwei Wang; Hui Deng (Hum. centric Comput. Inf. Sci., 2020)

Research on the Influence of Vehicle Speed on Safety Warning Algorithm: A Lane Change Warning System Case Study. - Rui Fu; Yali Zhang; Chang Wang 002; Wei Yuan; Yingshi Guo; Yong Ma (Sensors, 2020)

Human-Like Obstacle Avoidance Trajectory Planning and Tracking Model for Autonomous Vehicles That Considers the Driver's Operation Characteristics. - Qinyu Sun; Yingshi Guo; Rui Fu; Chang Wang 002; Wei Yuan (Sensors, 2020)

Research on a Cognitive Distraction Recognition Model for Intelligent Driving Systems Based on Real Vehicle Experiments. - Qinyu Sun; Chang Wang 002; Yingshi Guo; Wei Yuan; Rui Fu (Sensors, 2020)

Improving the User Acceptability of Advanced Driver Assistance Systems Based on Different Driving Styles: A Case Study of Lane Change Warning Systems. - Chang Wang 002; Qinyu Sun; Yingshi Guo; Rui Fu; Wei Yuan (IEEE Trans. Intell. Transp. Syst., 2020)

Computational Analysis of Behavioral Intervention for the Acceptance of Automated Driving Technology. - Mingyang Deng; Yuxi Guo; Yingshi Guo (EITCE, 2021)

Lane change strategy analysis and recognition for intelligent driving systems based on random forest. - Qinyu Sun; Chang Wang 002; Rui Fu; Yingshi Guo; Wei Yuan; Zhen Li 019 (Expert Syst. Appl., 2021)

Turning Maneuver Prediction of Connected Vehicles at Signalized Intersections: A Dictionary Learning-Based Approach. - Hailun Zhang; Rui Fu; Chang Wang 002; Yingshi Guo; Wei Yuan (IEEE Internet Things J., 2022)

Comparing the Effects of Visual Distraction in a High-Fidelity Driving Simulator and on a Real Highway. - Qinyu Sun; Yingshi Guo; Yongtao Liu; Chang Wang 002; Menglu Gu; Yanqi Su (IEEE Trans. Intell. Transp. Syst., 2023)

Passenger non-driving related tasks detection using a light weight neural network based on human prior knowledge and soft-hard feature constraints. - Li Ma; Yingshi Guo; Rui Fu; Qinyu Sun (Expert Syst. Appl., 2023)

What Challenges Does the Full-Touch HMI Mode Bring to Driver's Lateral Control Ability? A Comparative Study Based on Real Roads. - Xia Zhao; Zhao Li; Rui Fu; Chang Wang 002; Yingshi Guo (IEEE Trans. Hum. Mach. Syst., 2024)

Driving Maneuver Detection at Intersections for Connected Vehicles: A Micro-Cluster-Based Online Adaptable Approach. - Hailun Zhang; Rui Fu; Chang Wang 002; Yingshi Guo; Wei Yuan (IEEE Trans. Intell. Transp. Syst., 2024)

Driver Lane-Changing Intention Recognition Based on Stacking Ensemble Learning in the Connected Environment: A Driving Simulator Study. - Hongjia Zhang; Song Gao; Yingshi Guo (IEEE Trans. Intell. Transp. Syst., 2024)

Long and short-term characteristics of motion sickness: a test track investigation in a passenger car. - Rui Fu; Li Ma; Yingshi Guo; Qinyu Sun; Chang Wang 002; Wei Yuan; Tingting Lan (Cogn. Technol. Work., 2024)

Trajectory Planning for Automated Merging Vehicles on Freeway Acceleration Lane. - Menglu Gu; Yanqi Su; Chang Wang 002; Yingshi Guo (IEEE Trans. Veh. Technol., 2024)

Driver's trust assessment based on situational awareness under human-machine collaboration driving. - Qinyu Sun; Hang Zhou; Rui Fu; Yaning Xu; Chang Wang 002; Yingshi Guo (Eng. Appl. Artif. Intell., 2025)