2 citations · 2 across the 4 of their papers we have counts for
5 papers
Assessing the Effectiveness of Driver Training Interventions in Improving Safe Engagement with Vehicle Automation Systems
Chengxin Zhang, Huizhong Guo, Zifei Wang +3
This study investigates how targeted training interventions can improve safe driver interaction with vehicle automation (VA) systems, focusing on Adaptive Cruise Control (ACC) and…
From Narratives to Probabilistic Reasoning: Predicting and Interpreting Drivers' Hazardous Actions in Crashes Using Large Language Model
Boyou Chen, Gerui Xu, Zifei Wang +6
Vehicle crashes involve complex interactions between road users, split-second decisions, and challenging environmental conditions. Among these, two-vehicle crashes are the most pre…
Beyond Charging Anxiety: An Explainable Approach to Understanding User Preferences of EV Charging Stations Using Review Data
Zifei Wang, Emmanuel Abolarin, Kai Wu +5
Electric vehicles (EVs) charging infrastructure is directly related to the overall EV user experience and thus impacts the widespread adoption of EVs. Understanding key factors tha…
A systematic review of safety-critical scenarios between automated vehicles and vulnerable road users
Aditya Deshmukh, Zifei Wang, Aaron Gunn +6
Automated vehicles (AVs) are of great potential in reducing crashes on the road. However, it is still complicated to eliminate all the possible accidents, especially those with vul…
Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data
Jackie Ayoub, Zifei Wang, Meitang Li +4
Advanced driver assistance systems (ADAS) are designed to improve vehicle safety. However, it is difficult to achieve such benefits without understanding the causes and limitations…