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
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 |
Accelerated Training for Connected and Automated Vehicles Based on Adaptive Evaluation Method |
Principal Investigator: Henry Liu Research Thrusts: Control & Operations, Enabling Technology, Modeling & Implementation |
Access Control at Major-Minor Intersection through CAV in Mixed Traffic |
Principal Investigator: Ping Yi Research Thrusts: Control & Operations |
AI-enabled Transportation Network Analysis, Planning, and Operations |
Principal Investigator: Yafeng Yin Research Thrusts: Control & Operations, Modeling & Implementation, Policy & Planning |
Anomaly/Intrusion Detection: Design, Development and Testing |
Principal Investigator: David LeBlanc Research Thrusts: Control & Operations, Enabling Technology |
Automotive Cybersecurity Industry Consortium CAN Bus Scanning Tool Project |
Principal Investigator: David LeBlanc Research Thrusts: Control & Operations, Enabling Technology |
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 |
Connected and Automated Vehicle (CAV) Data Infrastructure and Access |
Principal Investigator: Henry Liu & Carol Flannagan Research Thrusts: Control & Operations |
Cooperative Control Mechanism for Platoon Formation of Connected and Autonomous Vehicles |
Principal Investigator: Srinivas Peeta & Yongfu Li Research Thrusts: Control & Operations |
Develop In-Vehicle Information Dissemination Mechanisms to Reduce Cognitive Burden in the Information-Rich Driving Environment |
Principal Investigator: Srinivas Peeta Research Thrusts: Control & Operations, Modeling & Implementation |
Developing Decision-Making Models for AV Movements at the Unsignalized Intersections |
Principal Investigator: James Sayer & Brian Research Thrusts: Control & Operations, Enabling Technology, Modeling & Implementation |
Development of A Cooperative Perception System |
Principal Investigator: Yiheng Feng & Andrew Tarko Research Thrusts: Control & Operations, Enabling Technology, Infrastructure Design & Management, Modeling & Implementation |
Development of a Prototype Safety Advisory System to Aid Older Drivers in Gap Selection |
Principal Investigator: Ping Yi & Yilmaz Sozer Research Thrusts: Control & Operations |
Development of AI-Based and Control-Based Systems for Safe and Efficient Operations of Connected and Autonomous Vehicles |
Principal Investigator: Samuel Labi & Sikai Chen Research Thrusts: Control & Operations, Enabling Technology, Modeling & Implementation |
Development of an Integrated Augmented Reality Testing Environment and Implementation at the American Center for Mobility |
Principal Investigator: Henry Liu Research Thrusts: Enabling Technology, Infrastructure Design & Management, Modeling & Implementation |
Development of Dynamic Network Traffic Simulator for Mixed Traffic Flow Under Connected and Autonomous Vehicles |
Principal Investigator: Srinivas Peeta Research Thrusts: Control & Operations |
Driving Etiquette |
Principal Investigator: Huei Peng Research Thrusts: Control & Operations |
Expand Deployment of Applications for Vulnerable Road Users in Pillar 1 (Pedestrian in Crosswalk) |
Principal Investigator: James Sayer Research Thrusts: Enabling Technology, Human Factors, Infrastructure Design & Management |
Facilitating Electric Propulsion of Autonomous Vehicles Through Efficient Design of a Charging-Station Network |
Principal Investigator: Samuel Labi & Mohammad Miralinaghi Research Thrusts: Control & Operations, Enabling Technology, Infrastructure Design & Management, Modeling & Implementation, Policy & Planning |
Impact of Autonomous Freight Delivery on Trucking Operations |
Principal Investigator: Imad Al-Qadi, Jeffery Roesler, Yanfeng Ouyang, Hadi Meidani, & Hasan Ozer Research Thrusts: Control & Operations, Enabling Technology, Infrastructure Design & Management, Modeling & Implementation |
Improving the Efficiency of Trucks via CV2X Connectivity on Highways |
Principal Investigator: Gabor Orosz Research Thrusts: Control & Operations, Enabling Technology, Infrastructure Design & Management |
Intelligent Sidewalk De-Icing and Pre-Treatment with Connected Campus Maintenance Vehicles |
Principal Investigator: Darcy Bullock Research Thrusts: Control & Operations, Enabling Technology, Modeling & Implementation |
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 |
Large Network Multi-Level Control for CAV and Smart Infrastructure: AI-based Fog-Cloud Collaboration |
Principal Investigator: Sikai Chen, Samuel Labi, & Kumares Sinha Research Thrusts: Control & Operations, Enabling Technology, Infrastructure Design & Management, Modeling & Implementation |
Leveraging Connected and Automated Vehicles for Participatory Traffic Control |
Principal Investigator: Yafeng Yin & Henry Liu Research Thrusts: Control & Operations, Enabling Technology, Modeling & Implementation |
Leveraging Control Theory to Facilitate UAV Application for CAV Deployment |
Principal Investigator: Shaoshuai Mou & Sikai Chen Research Thrusts: Control & Operations, Enabling Technology, Modeling & Implementation |
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: Control & Operations, Enabling Technology, Human Factors, Infrastructure Design & Management, Modeling & Implementation, Policy & Planning |
Modeling Naturalistic Driving Environment with High-Resolution Trajectory Data |
Principal Investigator: Shuo Feng & Henry Liu Research Thrusts: Control & Operations, Enabling Technology, Infrastructure Design & Management, Modeling & Implementation |
Multifront Approach for Improving Navigation of Autonomous and Connected Trucks |
Principal Investigator: Imad Al-Qadi & Yanfeng Ouyang Research Thrusts: Control & Operations, Enabling Technology, Infrastructure Design & Management, Modeling & Implementation |
Non-Connected Vehicle Detection Using Connected Vehicles |
Principal Investigator: Srinivas Peeta Research Thrusts: Control & Operations, Enabling Technology, Modeling & Implementation |
Operations of Connected and Autonomous Freight Trucks Under Congestion and Infrastructure Cost Considerations |
Principal Investigator: Imad Al-Qadi, Yanfeng Ouyang, Jeffery Roesler, Hasan Ozer, & Hadi Meidani Research Thrusts: Control & Operations, Infrastructure Design & Management, Modeling & Implementation, Policy & Planning |
Promoting CAV Deployment by Enhancing the Perception Phase of the Autonomous Driving Using Explainable AI |
Principal Investigator: Samuel Labi & Sikai Chen Research Thrusts: Control & Operations, Enabling Technology, Modeling & Implementation |
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 |
Real‐Time Distributed Optimization of Traffic Signal Timing |
Principal Investigator: Yafeng Yin, Siqian Shen, & Henry Liu Research Thrusts: Control & Operations, Enabling Technology, Modeling & Implementation |
Ride-sharing with Advanced Air Mobility |
Principal Investigator: Daniel DeLaurentis & Dengfeng Sun Research Thrusts: Control & Operations, Enabling Technology, Modeling & Implementation |
Road-side Based Cybersecurity in Connected and Automated Vehicle Systems |
Principal Investigator: Neda Masoud & Henry Liu Research Thrusts: Control & Operations, Enabling Technology, Modeling & Implementation |
Trajectory Based Traffic Control with Low Penetration of Connected and Automated Vehicles |
Principal Investigator: Yiheng Feng & Henry Liu Research Thrusts: Control & Operations |
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 |