CPC G08G 1/0145 (2013.01) [G08G 1/0133 (2013.01); G08G 1/052 (2013.01)] | 17 Claims |
1. A method for managing traffic congestion in a smart city, executed by a traffic scheduling strategy control management platform, comprising:
obtaining traffic data information in a preset area during a current time period, the traffic data information at least including a speed of at least one vehicle on at least one road;
predicting, based on a trained traffic state prediction model, one or more target areas where the traffic congestion is likely to occur from the preset area during a next time period by processing the traffic data information during the current time period, wherein the traffic state prediction model is a Graph Neural Network (GNN) model and a predicted result is output by at least one node of the traffic state prediction model;
determining whether a traffic scheduling strategy is needed to be switched based on traffic data information in the one or more target areas during the next time period; and
in response to determining that the traffic scheduling strategy is needed to be switched, switching a first traffic scheduling strategy to a second traffic scheduling strategy, wherein the traffic scheduling strategy includes at least one of a number of scheduled traffic police, duration of traffic lights, or temporary traffic control.
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