Control & Operations

Traffic control systems are a critical component of the transportation infrastructure. With the development of CAV technologies, traffic control in a CAV environment will be significantly different from the conventional framework. Despite substantial efforts in investing and developing CAV technologies in the past decade, large-scale CAV systems, have not yet been deployed. Over the next ten years, the CAV penetration rate is expected to remain at a low level. Therefore, optimizing traffic control systems for a low penetration rate is necessary. CCAT will design new traffic control models and algorithms that can be applied in a low CAV penetration rate environment for both off-line and real-time applications. If successful, this research would be available for implementation at once in the Ann Arbor Connected Vehicle Test Environment (AACVTE) and/or Mcity.

Research Focusing on Controls & Operations


Connected and Automated Vehicle (CAV) Data Infrastructure and Access
Principal Investigator:
Henry Liu & Carol Flannagan
Research Thrusts: Control & Operations
Driving Etiquette
Principal Investigator:
Huei Peng
Research Thrusts: Control & Operations
Real‐Time Distributed Optimization of Traffic Signal Timing
Principal Investigator:
Yafeng Yin, Siqian Shen, & Henry Liu
Research Thrusts: Control & OperationsEnabling TechnologyModeling & Implementation
Ride-sharing with Advanced Air Mobility
Principal Investigator:
Daniel DeLaurentis & Dengfeng Sun
Research Thrusts: Control & Operations, Enabling TechnologyModeling & Implementation
xBOT – A Versatile Robot to Assist Testing of Autonomous-Connected Vehicles
Principal Investigator:
Sridhar Lakshmanan, Paul Richardson, & Weidong Xiang
Research Thrusts: Control & Operations, Enabling Technology, Infrastructure Design & Management