ACT Driving Simulator
Goals
The ACT (Autonomous and Connected Transportation) Driving Simulator Team addresses problems that arise in multiple dimensions due to the emergence of autonomy, connectivity, and novel tech-leveraged modes in transportation. A major focus is to understand the interactions among drivers/travelers, emerging vehicular technologies related to connectivity and autonomy, and novel infrastructure designs by leveraging a driving simulator environment, analytical modeling, and living labs. Using the collected data, the team seeks to develop analytical models and perform data analytics to predict the autonomous and connected transportation future. Another focus is to leverage these emerging technologies and modes to develop sustainable travel solutions and deployment tools for smart and connected communities (SCCs) using the City of Peachtree Corners, GA, as an immersive living lab.
Issues Involved or Addressed
To understand the interactions between humans, vehicles, and the infrastructure under ACT, and develop sustainable travel solutions for communities, the team works on projects in multiple topical areas:
Model autonomous vehicles (AVs) and conduct field tests
Understand emergent issues (cybersecurity, control, human factors, etc.) under different levels of automation and V2X connectivity
Design Human-Machine Interfaces (HMIs) with auditory, visual, haptic and gestural cues for safe traffic operations under different levels of autonomy and connectivity
Predict driver/traveler behaviors under ACT by collecting and analyzing physiological data (i.e., EEG, ECG, and eye-tracking data)
Use virtual reality and augmented reality technologies to enhance driver/traveler experiences
Investigate the impacts of novel roadway designs that leverage ACT technologies
Build mobile apps and multiobjective optimization models to develop sustainable transportation solutions through behavioral interventions and ACT partnerships
Methods and Technologies
- Machine learning
- Optimization
- High-fidelity driving simulators
- Video image processing
- Virtual reality/augmented reality
- Control theory
- Large language models
- Physiological sensors (e.g. EEG ECG and eye tracking system)
- Microscopic traffic simulation
- Behavioral and experimental psychology
Majors Sought
Computing: Computer Science, Human-Centered Computing
Engineering: Aerospace Engineering, Civil Engineering, Electrical Engineering, Environmental Engineering, Industrial Engineering, Mechanical Engineering, Robotics
Liberal Arts: Public Policy
Sciences: Psychology
Preferred Interests and Preparation
Anyone with an interest in the broad and multidisciplinary ACT space is welcome to apply to join the team.
CEE, ISyE:”¯Background/interest in connected and autonomous vehicles, smart cities, transportation engineering, human factors, analytical modeling, optimization, data analytics, machine learning, etc.
ECE, CS, ME:”¯Background/interest in human-machine interactions, machine learning, control theory, image processing, augmented reality, virtual reality, robotics, etc.
PSYCH:”¯Background/interest in human factors, cognitive/applied psychology, experimental psychology, human-in-the-loop experiments, etc.
Advisor
Srinivas Peeta
Srinivas Peeta
peeta@gatech.edu
Day, Time & Location
Full Team Meeting:
5:00-5:50 PM Tuesday
TBD
Subteam meetings scheduled after classes begin.