Automated driving allows for at least some degree of vehicle control to be shifted from the driver to the vehicle. It changes not only the driving behavior but also the travel decision making process. The change of driving behavior will impact the design of the automated vehicle system that further impacts travelers’ adaption of CAV. In addition, the change of travel behavior may affect the system performance. The objectives of this research topic are to (i) leverage the capability of driving simulators at both UM and Purdue to investigate the factors that impact drivers’ decisions to take over driving tasks, (ii) optimize in-vehicle alarm systems to inform drivers to take over, (iii) investigate the psychological effect on users’ acceptance of CAVs using driving simulator and biosensors, and (iv) understand route choice behavior of CAV users. The research will be conducted by applying analytical models (psychological models, driver behavior models) to driving simulator experiments integrated with biosensors. The research results are expected to foster safe driving of CAV and increases users’ acceptance of CAV technology.
Research Focusing on Human Factors
| 2021 International Symposium on Transportation Data and Modelling (ISTDM) |
| Principal Investigator: Yafeng Yin Research Thrusts: Control & Operations, Enabling Technology, Human Factors, Infrastructure Design & Management, Modeling & Implementation, Policy & Planning |
| A Data-Driven Autonomous Driving Systems for Overtaking Bicyclists |
| Principal Investigator: Brian Lin & Shan Bao Research Thrusts: Human Factors, Modeling & Implementation |
| A Naturalistic Bicycling Study in the Ann Arbor Area |
| Principal Investigator: Shan Bao & Fred Feng Research Thrusts: Enabling Technology, Human Factors, Infrastructure Design & Management, Policy & Planning |
| A Virtual Reality Framework to Measure Psychological and Physiological Responses of the Self-Driving Car Passengers |
| Principal Investigator: Christos Mousas Research Thrusts: Human Factors |
| Autonomy in Transportation Education |
| Principal Investigator: Neda Masoud Research Thrusts: Control & Operations, Human Factors, Infrastructure Design & Management, Modeling & Implementation |
| AV Occupant ID Optical Based Occupant Identification and Classification for Autonomous Vehicles |
| Principal Investigator: Matt Reed Research Thrusts: Control & Operations, Enabling Technology, Human Factors, Modeling & Implementation, Policy & Planning |
| CAV Testing Scenario Design and Implementation using Naturalistic Driving Data and Augmented Reality |
| Principal Investigator: Yiheng Feng, Shan Bao, & Henry Liu Research Thrusts: Control & Operations, Enabling Technology, Human Factors, Modeling & Implementation |
| CCAT Ann Arbor Connected Environment (AACE) Operations and Maintenance |
| Principal Investigator: Henry Liu Research Thrusts: Control & Operations, Enabling Technology, Human Factors, Infrastructure Design & Management, Modeling & Implementation, Policy & Planning |
| DeepScenario: City Scale Scenario Generation for Automated Driving System Testing & Evaluation |
| Principal Investigator: Henry Liu, Shan Bao & Brian Lin Research Thrusts: Enabling Technology, Human Factors, Modeling & Implementation |
| Deployment of Preemption based Motion Sickness Prevention Technology on a Testbed Vehicle in Mcity |
| Principal Investigator: Shorya Awtar & Bernard Martin Research Thrusts: Enabling Technology, Human Factors |
| Development of Machine-Learning Models for Autonomous Vehicle Decisions on Weaving Sections of Freeway Ramps |
| Principal Investigator: Brian Lin Research Thrusts: Human Factors, Modeling & Implementation |
| Development of Situational Awareness Enhancing Systems for AV-Manual Handover and Other Tasks |
| Principal Investigator: Samuel Labi & Sikai Chen Research Thrusts: Enabling Technology, Human Factors, Modeling & Implementation |
| Guidelines for Development of Evidence-Based Countermeasures for Risky Driving |
| Principal Investigator: Lisa Molnar Research Thrusts: Enabling Technology, Human Factors |
| How Vehicle Connectivity Based Eco-Routing Choices Will Impact Driver Decision Making |
| Principal Investigator: Shan Bao & James Sayer Research Thrusts: Enabling Technology, Human Factors, Policy & Planning |
| Impacts of In-Vehicle Alert Systems on Situational Awareness and Driving Performance in SAE Level 3 Vehicle Automation |
| Principal Investigator: Srinivas Peeta Research Thrusts: Human Factors |
| Investigation Into U.S. Real World Lane Change Behavior for Automated Freeway Driving |
| Principal Investigator: James Sayer Research Thrusts: Control & Operations, Enabling Technology, Human Factors, Modeling & Implementation |
| Investigation of AV Operational Issues Using Driving Simulator Equipment |
| Principal Investigator: Brandon Pitts & Samuel Labi Research Thrusts: Control & Operations, Human Factors, Modeling & Implementation, Policy & Planning |
| Machine Learning, Human Factors and Security Analysis for the Remote Command of Driving: An Mcity Pilot |
| Principal Investigator: Robert Hampshire, Walter Lasecki, & Shan Bao Research Thrusts: Control & Operations, Enabling Technology, Human Factors |
| Mcity Ann Arbor Connected Environment Operations and Maintenance |
| Principal Investigator: James Sayer Research Thrusts: Controls & Operations, Enabling Technology, Human Factors, Infrastructure Design & Management, Modeling & Implementation, Policy & Planning |
| Pedestrian-Vehicle Interaction in a CAV Environment – Explanatory Metrics |
| Principal Investigator: Jon D. Fricker Research Thrusts: Human Factors, Modeling & Implementation |
| Predicting Driver Takeover Performance in Conditional Automation (Level 3) through Physiological Sensing |
| Principal Investigator: Carol Menassa, Vineet Kamat, Da Li, & Julian Brinkley Research Thrusts: Human Factors |
| Promoting Inclusive Design and Deployment of Connected and Automated Vehicles for Older Adults Through Education and Training of Engineering Students and Older Drivers |
| Principal Investigator: Lisa Molnar, Feng Zhou, David W. Eby, Carol Flannagan, & Ping Yi Research Thrusts: Control & Operations, Enabling Technology, Human Factors |
| Smart Interaction — Pedestrians and Vehicles in a CAV Environment |
| Principal Investigator: Jon D. Fricker Research Thrusts: Human Factors, Modeling & Implementation |
| Supporting People with Vision Impairments in Automated Vehicles |
| Principal Investigator: Robin Brewer & Nicole Ellison Research Thrusts: Human Factors |
| Translation of Driver-Pedestrian Behavioral Models at Semi-Controlled Crosswalks into a Quantitative Framework for Practical Self-Driving Vehicle Applications |
| Principal Investigator: Jon D. Fricker Research Thrusts: Human Factors, Policy & Planning |
| Using Driving Simulator Environment to Determine Interactions Between User Behavior and Infrastructure Design Under Autonomous Vehicles |
| Principal Investigator: Srinivas Peeta Research Thrusts: Human Factors, Infrastructure Design & Management, Modeling & Implementation, Policy & Planning |
| Using Virtual Reality Techniques to Investigate Interactions Between Fully Autonomous Vehicles and Vulnerable Road Users |
| Principal Investigator: Samuel Labi & Sikai Chen Research Thrusts: Enabling Technology, Human Factors |
