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  • 712F Boyd Research and Education Center
  • 200 D.W. Brooks Drive, Athens, GA 30602
yunli.shao@uga.edu
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Energy Efficient Connected and Automated Vehicles

With the advancement of vehicle-to-anything (V2X) communication and vehicle automation, new mobility solutions can enhance various aspects of automotive and transportation systems, including energy efficiency, mobility, and safety. These improvements are achieved by leveraging real-time traffic information to predict upcoming driving conditions to control vehicle motions through automation.

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Cooperative Driving Automation

As the penetration rate of connected vehicles increase, multiple vehicles can share real-time information such as their intents and attempt to seek agreement for cooperative driving. For example, at a merging scenario, vehicles on main road and ramp can be controlled to coordinate their arrivals to minimize conflicts and hence improve traffic throughput and efficiency.

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Hardware-in-the-loop Evaluation

Connected and automated vehicle technologies require comprehensive testing and evaluation before real-world deployment. By integrating essential hardware with a simulated environment, hardware-in-the-loop evaluation captures the actual response of the physical system while testing in various simulated driving conditions. This approach enables repeatable, high-fidelity evaluation, accelerating the development of emerging technologies.

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Living Lab and Data Analytics

With the advancement of remote sensing technologies such as camera and lidar, real-time traffic conditions can be monitored.Therefore, sustainable transportation management and data analytics system can be developed to create a living lab for a smart campus or city. Real-time and historical traffic conditions can be monitored and analyzed for situational awareness and optimal transportation management strategies for safety, efficiency, mobility, and sustainability.

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Traffic Signal Light Optimization

With advanced camera-based vehicle detection systems and vehicle-to-anything communication, traffic signal control systems can potentially obtain information of real-time and predicted traffic conditions. This creates an opportunity to proactively adapt signal control strategies, reducing delays at intersections and improving overall traffic throughput.

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