Prediction method of regional flow distribution in variable traffic control scheme based on wmgirl algorithm
A technology of traffic control and flow distribution, which is applied in traffic flow detection, road vehicle traffic control system, traffic control system, etc., can solve the problem that urban roads cannot meet traffic demand, solve the problem of excessive environmental model and reduce workload , the effect of improving the accuracy
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Embodiment 1
[0106] like figure 1 As shown, the regional flow distribution prediction method in the variable traffic control scheme based on the WMGIRL algorithm includes the following steps:
[0107] S1. Carry out urban road network modeling in the area to be predicted, and collect driving trajectory data in the area;
[0108] S2. Based on the urban road network and driving trajectory data corresponding to the area to be predicted, the flow characteristics in the area to be predicted are extracted through the maximum entropy inverse reinforcement learning method based on multiple weights;
[0109] S3. Based on the extracted flow characteristics and the urban road network under the current traffic control scheme, process them through the forward reinforcement learning method to obtain the flow distribution prediction results of the area to be predicted.
[0110] In the above step S1, when modeling the urban road network, it actually belongs to the reasonable abstraction of all the things ...
Embodiment 2
[0218] In this embodiment, a flow simulation platform under the variable traffic control scheme built based on the above flow distribution prediction method is provided,
[0219] The platform can predict the regional flow distribution under different traffic control schemes based on the real urban road network and the data in the buckle. The framework of the flow simulation platform based on the variable traffic control scheme is as follows: figure 2 As shown, the traffic simulation platform has three sub-modules, including road network module, traffic module and algorithm module. Among them, the road network module models the urban road network within the specified range of the specified city; the flow module uses the bayonet data of a certain period of time within the specified range of the city to mine the traffic trajectory data; the algorithm module is divided into the flow feature extraction module and the flow The simulation algorithm module, in which the traffic featu...
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