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Scientific Reports|October 26, 2022
A study of safety acceptance and behavioral interventions for autonomous driving technologiesMingyang Deng, Yingshi GuoAccident; Analysis and Prevention|April 15, 2023
On the importance of working memory in the driving safety field: A systematic reviewHuiming Zhang, Yingshi Guo, Wei Yuan, et al.Plos One|November 12, 2021
An oversampling method for multi-class imbalanced data based on composite weightsMingyang Deng, Yingshi Guo, Chang Wang, et al.Sensors (Basel, Switzerland)|August 14, 2020
Research on a Cognitive Distraction Recognition Model for Intelligent Driving Systems Based on Real Vehicle ExperimentsQinyu Sun, Chang Wang, Yingshi Guo, et al.Applied Ergonomics|May 12, 2015
Multi-parameter prediction of drivers' lane-changing behaviour with neural network modelJinshuan Peng, Yingshi Guo, Rui Fu, et al.International Journal of Environmental Research and Public Health|December 16, 2020
Analysis of Pedestrian Street-Crossing Decision-Making Based on Vehicle Deceleration-Safety GapHongjia Zhang, Yingshi Guo, Yunxing Chen, et al.Plos One|September 24, 2020
Linking executive functions to distracted driving, does it differ between young and mature drivers?Zhi Zhang, Yingshi Guo, Rui Fu, et al.Sensors (Basel, Switzerland)|August 30, 2020
Human-Like Obstacle Avoidance Trajectory Planning and Tracking Model for Autonomous Vehicles That Considers the River's Operation CharacteristicsQinyu Sun, Yingshi Guo, Rui Fu, et al.Accident; Analysis and Prevention|February 10, 2019
What is the difference in driver's lateral control ability during naturalistic distracted driving and normal driving? A case study on a real highwayChang Wang, Zhen Li, Rui Fu, et al.Sensors (Basel, Switzerland)|May 14, 2020
Research on the Influence of Vehicle Speed on Safety Warning Algorithm: A Lane Change Warning System Case StudyRui Fu, Yali Zhang, Chang Wang, et al.Pageof 3