A message-based optimal control method for complex network traffic signals
A complex network and traffic signal technology, applied in the field of message-based complex network traffic signal optimization control, can solve the problems of traffic prediction model instability, large system calculation, discrete time-varying, etc., to improve learning efficiency and fast convergence The effect of simplification, complexity, and fast convergence
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[0047] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.
[0048] like figure 1 Shown is a schematic flow chart of the system of the present invention.
[0049] In the step 1, the complex traffic network intersection node matrix is expressed as:
[0050]
[0051] In the formula, N is an M×N dimensional matrix, where i∈[0,N-1], j∈[0,M-1], and x(i,j) are the position coordinates of traffic intersections in the traffic network.
[0052] The road length distribution matrix between traffic nodes is the spatial distribution of two groups of roads, as shown below
[0053]
[0054]
[0055] In the formula: D x(i,j) It is an N×M-1 dimensional matrix, representing the horizontal road distribution; D y(i,j) is an N-1×M dimensional matrix, representing the vertical road distribution;
[0056] Observation matrix of traffic flow state on different roads between nodes, using L x(i,j) , L y(i,j) exp...
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