Control & Sy!ems "eory Seminar at # Technion (2014 x`exata 3) c"ryz ,'` xc`a 'b ,sxeg xhqnq
Title:
Optimal Perimeter Control for Two Urban Regions with Macroscopic Fundamental Diagrams
Speaker:
Jack Haddad, CE, Technion
Time:
Monday, February 3, 2014, 11:30
Place:
Room 320, Lady Davis Bld (Mechanical Eng.), Technion
Abstract: Recent analysis of empirical data from cities showed that a macroscopic fundamental diagram (MFD) of urban traffic provides for homogenous network regions a unimodal, low-scatter relationship between network vehicle density and network space-mean flow. In this presentation, the optimal perimeter control for two-region urban cities is formulated with the tool of MFDs. The controllers operate on the border between the two regions, and manipulate the percentages of flows that transfer between the two regions, such that the number of trips reaching their destinations is maximized. The optimal perimeter control problem is solved by model predictive control, where the prediction model and the plant (reality) are formulated by macroscopic fundamental diagrams. Examples are presented for different levels of congestion in the regions of the city and the robustness of the controller is tested for different sizes of error in the MFDs and different levels of noise in the traffic demand. Comparison results show that the performances of the model predictive control are significantly better than a greedy feedback control. The results of this presentation can be extended to develop efficient hierarchical control strategies for heterogeneously congested cities.
perimeter control problem is solved by model predictive control, where the prediction. model and the plant (reality) are formulated by macroscopic fundamental diagrams. Ex- amples are presented for different levels of congestion in the regions of the city and the. robustness of the controller is tested for different sizes of error ...
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