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

Inactive Publication Date: 2017-05-03
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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Problems solved by technology

[0005] Therefore, the present invention aims at the problems that the traditional traffic model is easily affected by traffic state nonlinearity, discrete time-varying, randomness, etc., resulting in unstable traffic prediction model, large amount of system calculation, poor stability, etc.

Method used

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  • A message-based optimal control method for complex network traffic signals
  • A message-based optimal control method for complex network traffic signals
  • A message-based optimal control method for complex network traffic signals

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Embodiment Construction

[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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Abstract

The invention relates to a message-based complex network traffic signal optimization control method, which comprises the steps of: establishing a traffic network model, and initializing parameters of the traffic network model; initializing signal lamp switching time of each network node and time for a vehicle to arrive at each node; establishing a traffic network system delay function, and establishing message passing functions among the network nodes; calculating time for the vehicle to arrive at the nodes; solving a minimal value of the traffic network system delay function, arriving at new values for establishing the message passing functions among the network nodes, and transmitting the values to upstream and downstream nodes; and returning to the step 3 to carry out loop iteration processing, and stopping the loop iteration when an optimal state is achieved. According to the message-based complex network traffic signal optimization control method provided by the invention, traffic signal control and vehicle driving path need to be optimized in a complex regional traffic system, so as to realize management and control on urban road traffic, and the message-based complex network traffic signal optimization control method has the advantages of being stable and reliable, high in environmental adaptability and high in real-time performance of algorithms, and having higher system optimization efficiency.

Description

technical field [0001] The invention relates to the field of intelligent traffic systems, in particular to a message-based optimization control method for complex network traffic signals. Background technique [0002] In the urban road traffic system, the traffic network is generally composed of two basic units, the road and the intersection. The road is the middle part connecting the intersection and is the carrier for vehicles to move in space; Relatively special, it enables vehicles to drive in different directions; however, it is precisely because the intersection is in the process of coordinating traffic operation that it brings a lot of inconvenience to the smooth operation of traffic, and the traffic capacity of urban roads is mainly affected by the coordination control ability of intersection signal lights , therefore, the intersection is also considered to be the most widely distributed traffic bottleneck node. [0003] Traditional control methods, such as the anal...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/07
CPCG08G1/07
Inventor 毕欣杜劲松赵越南高洁李想田星张清石
Owner SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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