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- W2731509511 abstract "Abstract In today's freeway traffic there is very little control that can effectively influence traffic flow and manage congestion. To alleviate congestion, roadway neural controllers that generate the speed commands to be followed by vehicles in each section of the lane in order to achieve a desired density distribution, are designed and simulated in an automated highway environment. Simulations are used to demonstrate that feedback control on the macroscopic level could bring dramatic improvements on the characteristics of traffic flow during incidents." @default.
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- W2731509511 date "1996-06-01" @default.
- W2731509511 modified "2023-09-26" @default.
- W2731509511 title "Congestion Management of Freeway Traffic Using Artificial Neural Networks ⋆" @default.
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- W2731509511 doi "https://doi.org/10.1016/s1474-6670(17)58962-4" @default.
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