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- W3049671874 abstract "Traffic signal control is an important part of the urban traffic control system, and it is a challenging problem to provide effective traffic signal control for a large complex traffic network. In order to improve the traffic efficiency of road network intersections and reduce the congestion of road networks, we optimize the traffic signals at intersections based on the Stochastic Link Flow Model (SLFM). In this paper, the Stochastic Link Flow Model is briefly introduced and the green splits of traffic signal are used as the optimization variables to optimize the traffic flow density, which is described as a stochastic switching of four different link state modes within the traffic network. Lastly, we verified the results with Matlab simulations and confirmed the efficiency of our optimization results." @default.
- W3049671874 created "2020-08-21" @default.
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- W3049671874 date "2020-08-01" @default.
- W3049671874 modified "2023-09-27" @default.
- W3049671874 title "An Optimization for Traffic Signal Control with a Stochastic Link Flow Model" @default.
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- W3049671874 doi "https://doi.org/10.1109/ccdc49329.2020.9164053" @default.
- W3049671874 hasPublicationYear "2020" @default.
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