North Carolina Department of Transportation
Research & Innovation Summit – 2020
Extremumm Seeking Combined with Filtered Feedback Linearization for Traffic Congestion Control of Heterogeneous Multi- Vehicle Networks
Authors: Pouria Karimi Shahri, Dr. Srinivas Pulgurtha, Dr. Amir.H Ghasemi
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This research is focused on modeling and control of a mix traffic network. A cost function is defined with the goal of maximizing the average flow-rate within the network. We employed extremum seeking (ES) control approach to determine the optimal density and penetration rate for each sub-network and used a filtered feedback linearization (FFL) controller to control the throughput of each subnetwork in order to reach to the optimal states.
For questions about this research, contact Dr. Amir.H Ghasemi at email@example.com.