Yiqi Zhang

Yiqi Zhang
Pennsylvania State University | Penn State · Department of Industrial and Manufacturing Engineering

PhD

About

40
Publications
15,051
Reads
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280
Citations
Introduction
Yiqi Zhang currently works at the Department of Industrial and Manufacturing Engineering, Pennsylvania State University. Yiqi does research in Traffic Psychology, Intelligent Transportation Systems, Human Performance Modeling, and Human-Machine Interaction. The current project is 'Human-Vehicle Interaction in Connected and Autonomous Vehicles.'
Additional affiliations
July 2017 - present
Pennsylvania State University
Position
  • Professor
September 2011 - June 2017
University at Buffalo, The State University of New York
Position
  • Research Assistant
January 2011 - January 2017
University at Buffalo, The State University of New York
Position
  • Research Assistant
Education
August 2011 - June 2017

Publications

Publications (40)
Article
Existing driver models mainly account for drivers’ responses to visual cues in manually controlled vehicles. The present study is one of the few attempts to model drivers’ responses to auditory cues in automated vehicles. It developed a mathematical model to quantify the effects of characteristics of auditory cues on drivers’ response to takeover r...
Article
Conditional automation systems allow drivers to turn their attention away from the driving task in certain scenarios but still require drivers to gain situation awareness (SA) upon a takeover request (ToR) and resume manual control when the system is unable to handle the upcoming situation. Unlike time-critical takeover situations in which drivers...
Article
Situation Awareness (SA) is an essential skill in the world of medical care that contributes to excellent patient care and patient safety. In the inpatient settings such as Intensive Care Units, nurses are responsible for monitoring and detecting changes in a patient's overall health, assessing the direction in which the patient's health is headed,...
Article
Most existing driver models focus on predicting driving performance in normal and near-collision situations without considering the impact of collision warning parameters on driver behavior. This study develops a cognitive computational driver model based on the Queueing Network-Model Human Processor (QN-MHP) to quantify the effects of key warning...
Article
Vehicles equipped with connected vehicle technologies are able to communicate with each other and with infrastructures. Compared to Advanced Driving Assistance Systems (ADAS) using camera systems and sensor technologies, the Connected Vehicle Systems (CVS) leverage the wireless communication networks to detect hazards with a greater range, alert dr...
Article
Conditionally automated vehicles require the out-of-the-loop driver to intervene when the system is unable to handle forthcoming situations, such as freeway exiting. The takeover request (ToR) for exiting a freeway can be scheduled in advance. Upon a ToR, the driver needs to gain situation awareness (SA) and resume manual control. This study examin...
Article
Automated Vehicle (AV) technology has the potential to significantly improve driver safety. Unfortunately, drivers could be reluctant to ride with AVs due to their lack of trust and acceptance of AVs' driving styles. The present study investigated the effects of the designed driving style of AV (aggressive/defensive) and driver's driving style (agg...
Article
In semi-automated vehicles, non-speech sounds have been prevalently used as auditory displays for control transitions since these sounds convey urgency well. However, there are no standards of specifications for warning sounds so that diverse non-speech sounds are being employed. To shed light on this, the effects of different non-speech auditory w...
Conference Paper
For more than two decades, a myriad of design and research methods have been proposed in the ICAD community. Neurological methods have been presented since the inception of ICAD, and psychological human-subjects research has become as a legitimate approach to auditory display design and evaluation. However, little research has been conducted on mod...
Article
Autonomous Vehicle (AV) technology has the potential to significantly improve driver safety. Unfortunately, driver could be reluctant to ride with AVs due to the lack of trust and acceptance of AV’s driving styles. The present study investigated the impact of driver’s driving style (aggressive/defensive) and the designed driving styles of AVs (aggr...
Article
The advances in connected vehicle systems (CVS) allow vehicles to communicate with each other and with infrastructures via wireless communication networks. This technology enables vehicles to detect potential hazards on the road, generate warnings, and assist the driver in taking preventive actions. To date, few mathematical models have been develo...
Conference Paper
In semi-autonomous vehicles (SAE level 3) that require driver's engagement in critical situations, it is important to secure reliable control transitions. There have been many studies on investigating appropriate auditory displays for takeover request (TOR) but most of them were empirical experiments. In the present study, we established two comput...
Article
With emerging new technologies, the vehicles in the future with connected vehicle systems (CVS) will be equipped with the ability to communicate with each other and aim to provide drivers with information in a timely and reliable way to improve driver safety. This study was designed to investigate the interaction effects of warning lead time (2.5 s...
Conference Paper
Deaths and injuries resulted from traffic accidents is still a major public health problem. Recent advances in connected vehicle technology support a connected driving environment in which vehicles are enabled to communicate with each other and with roadside infrastructures via Dedicated Short Range Communication (DSRC). Connected vehicle safety ap...
Conference Paper
The connected vehicle systems (CVS) aim to provide drivers with information in a timely and reliable way to improve transportation safety. With the emerging wireless communication technologies, the vehicles will be equipped with the ability to communicate with each other about the surrounding traffic situations by exchanging vehicle status and moti...
Article
Full-text available
This study aims to investigate the usability of a head-up display (HUD) in presenting warning messages during driving and create a new and effective vehicle early warning system for drivers. Two experiments were conducted. In Experiment 1, 36 drivers were randomly assigned to a group using HUD and a control group. The simulated driving performance...
Conference Paper
The current paper provided a tutorial of the integration of mathematical models in human performance modeling. It introduced the unique features of mathematical modeling in human performance, and the steps in mathematical model integration, including how the literature of models was reviewed, how a research gap was identified, and how a mathematica...
Article
Alcohol is one of the principal risk factors for motor vehicle crashes. One factor that contributes to vehicle crashes is noncompliance with stop signs and red lights. The present experiment investigated the effects of alcohol and drinking patterns on driving behavior at stop signs and red lights. 28 participants participated in drinking and simula...
Thesis
With the emerging new technologies, the vehicles in the future intelligent transportation system will be equipped with the ability to communicate with each other and aim to provide drivers with information in a timely and reliable way to improve driver safety. Most of the existing driver models focus on the prediction of driving performance in norm...
Article
Objects: To date, multiple models have been developed to estimate blood or breath alcohol concentration (BAC/BrAC). Several factors have been identified that affect the discrepancy between BACs/BrACs and retrospective estimation (eBAC) with existing equations. To the best of our knowledge, a model to quantify the effects of factors on the discrepa...
Article
Abstract—Transportation Cyber-Physical systems (CPS) aim to improve driving safety by informing drivers of hazards with warn- ings in advance. The understanding of human responses to speech warnings is essential in the design of transportation CPS to eliminate hazards and accidents. To date, many works have addressed diverse warning characteristics...
Article
Objects: Vehicle-to-Vehicle (V2V) communication has become one of the most active fields of research recently. The implementation of the wireless connected vehicles has widely extended the transmission range of warning messages to inform drivers of hazards ahead. The present study addressed the human component with mathematical modeling of the huma...
Conference Paper
Recent advances in information technology have led to the extensive use of electronic maps in navigation tasks. An important question is how to present information about locations and directions to facilitate navigation tasks performed by different users. Extensive studies in the literature have investigated the effect of the frame of reference (i....
Article
Introduction: Under the connected vehicle environment, vehicles will be able to exchange traffic information with roadway infrastructure and other vehicles. With such information, collision warning systems (CWSs) will be able to warn drivers with potentially hazardous situations within or out of sight and reduce collision accidents. The lead time...
Article
Most prior studies regarding navigational efficiency of electronic maps mainly investigated map characteristics such as the frame of references of maps (track-up maps vs. north-up maps) and the map dimensionality (2D maps vs. 3D maps). However, relatively little research has been found regarding how user characteristics, especially a user’s cogniti...
Article
Aggressive driving behavior is an important cause of traffic accidents. Based on the recent view that aggressive driving is one way that trait aggression manifests itself, a growing research area has focused on the development of scales to assess aggressive driving. The aggressive driving scale (ADS) analyzed in the present study consists of 24 ite...
Article
Full-text available
As an important application of Cyber-Physical Systems (CPS), advances in intelligent transportation systems (ITS) improve driving safety by informing drivers of hazards with warnings in advance. The evaluation of the warning effectiveness is an important issue in facilitating communication of ITS. The goal of the present study was to develop a scal...
Conference Paper
The quantitative prediction and understanding of human performances in the responses to speech warnings is an essential component to improve warning effectiveness. Queuing network-model human processor (QN-MHP), as a computational architecture, enables researchers to model dual-task information processing. The current study enhanced QN-MHP by model...
Conference Paper
Aggressive driving behavior is an important cause of traffic accidents and injuries. The Aggressive Driving Scale (ADS) analyzed in the present study consists of 24 items. A sample of 276 participants was analyzed to obtain the factor structure and reliability of the ADS and 67 of them participated in the behavioral experiment to validate the scale...
Conference Paper
Collision warning systems (CWSs) are in development in the intelligent transportation system domain to reduce collision accidents. The lead time of warning messages is a crucial factor in determining system effectiveness in the prevention of accidents. The present experiment studied the effects of controlled lead time at 16 levels (predetermined ti...
Article
Full-text available
This paper presents a new computational framework for early detection of driver distractions (map viewing) using brain activity measured by electroencephalographic (EEG) signals. Compared with most studies in the literature, which are mainly focused on the classification of distracted and nondistracted periods, this study proposes a new framework t...
Conference Paper
The implementation of the wireless V2I communication has extended the transmission range of warning messages about potential hazards to the drivers. The present study addressed the human component by considering the human performance in the design of the human-in-the-loop V2I communication systems. Based on human performances, the human-in-the-loop...
Conference Paper
The lead time of warning messages from a collision warning systems (CWSs) is a crucial factor in determining system effectiveness in the prevention of traffic accidents. Accordingly, it is necessary to understand the effects of lead time on driving behaviors and explore the optimal lead time in various collision scenarios. The current driving simul...
Conference Paper
The evaluation of the warning message effectiveness is an important issue in improving communication safety in the system. The goal of the present research was to develop the scale to evaluate the warning message utility, namely, the effectiveness of warning message in preventing accident in general, and an empirical study was conducted to validate...
Article
Bicycles held an important position in transportation of China and other developing countries. As accidents rate involving electronic and regular bicycles is increasing, the severity of the bicycle safety problem should be paid more attention to. The current research explored the effect of sunshields (a kind of affordable traffic facility built on...

Questions

Question (1)
Question
I have collected videos using the Kinect Studio application with Kinect for Windows V2, and I got files with extension .xef.
I've found some answers on "Msdn Forums - Kinect for Windows v2 SDK' about how to export skeleton data from real-time Kinect sensor. However, I want to write a program to export data from the recorded .xef file to analyze the skeleton movement. 

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Projects

Projects (2)
Project
The human element will constitute a critical component of tomorrow's Cyber Transportation Systems (CTS). This project explores human-CTS interaction as the central design consideration. A new framework for CTS will be developed and validated that quantifies the effects of system design parameters on the key elements of human cognition and performance to maximize human safety.