CCAT Establishes the Technology Advisory Board
In February, the CCAT Technology Advisory Board (TAB) had its inaugural meeting. The CCAT TAB consists of experts from industry, government, and academia. It is instrumental in selecting and enhancing CCAT projects to ensure the highest quality research for connected and automated transportation and ensuring results-driven research and maximizing technology transfer. The CCAT Technology Advisory Board was integral in creating the research focus for 2019. Overall, the TAB experts’ input enhanced the value of the individual projects by making them more relevant to all CCAT stakeholders, creating a research portfolio that advances the CAV Transportation space at large. Furthermore, each project was evaluated on the strength of its potential for technology transfer resulting in real-world deployments. The following projects were approved for 2019 funding (click on the project title to learn more):
- Real-time Distribution Optimization of Traffic Signal Timing
- How Vehicle Connectivity Based Eco-Routing Choices Will Impact Driver Decision-Making
- Accelerated Training for Connected and Automated Vehicles Based on Adaptive Evaluation Method
- Reliable V2V Communication Networks: Applications in Fuel-Efficient Platooning
- Development of Machine-Learning Models for Autonomous Vehicle Decisions on Weaving Sections of Freeway Ramps
- Investigation of AV Operational issues Using Driving Simulator Equipment
- Enhanced Methodology for Exploring Autonomy-Enabled Multi-Mode Regional Transportation
- Smart Interaction – Pedestrians and Vehicles in a CAV Environment
- Ridesharing, Active Travel Behavior, and Personal Health: Implications for Shared Autonomous Vehicles
- A Virtual Reality Framework to Measure Psychological and Physiological Responses of the Self-Driving Car Passengers
- Using Driving Simulator Environment to Determine Interactions Between User Behavior and Infrastructure Design Under Autonomous Vehicles
- Multi-Front Approach for Improving Navigation of Autonomous and Connected Trucks
- Development of a Prototype Safety Advisory System to Aid Older Drivers in Gap Selection