Message-based complex network traffic signal optimization control method

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 transportation 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: roads and intersections. The road is the middle part of the connection and the carrier for vehicles to move in space; the intersection is an important part of the road. It is relatively special, but it realizes that vehicles can drive in different directions; however, it is precisely because of the inconvenience to the smooth operation of the traffic during the coordinated traffic operation of the intersection. The traffic capacity of urban roads is mainly affected by the coordinated control ability of the intersection signal lights Therefore, the intersection is also considered to be the most widely distributed traffic bottleneck node. [0003] Traditional control ...

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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.

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