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- W3165078976 abstract "Most of the existing perimeter control methods in urban traffic regions are only suitable for the road network in an ideal state, and the impact of various uncertain factors and disturbances in the actual traffic system on the control performance is not considered. In this paper, a disturbance term is introduced into the vehicle balance equation of the road network, and an iterative learning perimeter control method of urban traffic area considering the disturbance is proposed by using the repeatability of the macroscopic traffic flow. Through iterative learning control of the perimeter intersections, the cumulative number of vehicles in the sub-region is stabilized near the expected value, and it is demonstrated that the tracking error of the system converges to a boundary under bounded disturbances. Finally, it is verified through simulation experiments that the proposed method can effectively suppress the effects of different levels of disturbances on the performance of the road network and improve the traffic conditions. • An iterative learning perimeter control method for traffic sub-regions considering disturbances was proposed. • The convergence of the proposed control method was proved by rigorous theoretical analysis. • The ILC perimeter control method considering disturbances can regulate the cumulative number of vehicles and suppress the influence of disturbances to improve the efficiency of road network operation." @default.
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- W3165078976 date "2021-09-01" @default.
- W3165078976 modified "2023-09-29" @default.
- W3165078976 title "Iterative learning perimeter control method for traffic sub-region considering disturbances" @default.
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- W3165078976 doi "https://doi.org/10.1016/j.physa.2021.126104" @default.
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