Traffic flow simulation system based on FPGA (Field Programmable Gate Array) array unified intelligent structure

Abstract

The invention discloses a traffic flow simulation system based on an FPGA (Field Programmable Gate Array) array unified intelligent structure and a simulation method based on the system. In order to implement the online predictive control for traffic flows in different environments, the system adopts an FPGA array as a hardware platform to avoid the condition of insufficient FPGA resources; and based on the platform, a plurality of existing macroscopic traffic flow models are synthesized in one model, and the model can be adjusted through choosing different coefficients; variable information display boards are fused in the model; the approximate discretization processing is implemented for the model; a parallel processing flow is built; a dynamic data storage scheme is designed; and the traffic flow prediction based on the model is realized; road bottlenecks are found out according to defined state variables, and control solutions for ramp entry control and the variable information display boards are given out, so that the traffic flow densities and the travelling speeds of expressways can be effectively controlled in real time by adopting different macroscopic traffic flow models under different conditions.

Description

technical field [0001] The present invention relates to a FPGA An array predictive control system and method, in particular to a predictive control method based on a unified model. Background technique [0002] With the rapid development of the economy and the continuous increase of car ownership, traffic congestion has become the focus of common attention and an important problem that needs to be solved urgently in all countries in the world. Traffic congestion has also caused serious environmental pollution. Among the nine major air pollutants Among them, 6 are directly or indirectly related to automobile exhaust emissions, and the concentration of harmful substances emitted by automobiles in traffic jams is 5-6 times higher than that in normal driving; in addition, traffic congestion and traffic accidents are two major problems that coexist in urban traffic . On the one hand, the dense traffic flow during the peak period of urban traffic makes traffic accidents occur fr...

AI Technical Summary

Problems solved by technology

[0007] In order to overcome the technical defect that the existing scheme is difficult to carry out online predictive control of traffic flow in different situations in the actual road, the present invention provides a traffic flow simulation system control method based on FPGA array unified intelligent structure, in order to control traffic flow in different environments On-line predictive control of traffic flow, the system adopts FPGA array as a hardware platform to avoid FPGA In the event of insufficient resources, and based on this platform, a variety of existing macro-traffic flow models are integrated into one model, and the model can be adjusted by selecting different coefficients, and variable information display boards can be integrated into the model In this model, approximate discretization is performed on the model, a parallel processing process is established, a dynamic data storage scheme is designed, traffic flow prediction based on the model is realized, road bottlenecks are found according to the defined state variables, and turn control and variable The control scheme of the information display board enables the traffic flow density and driving speed of the expressway to be controlled effectively in real time using different macro-traffic flow models

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