FPGA (Field Programmable Gate Array) online predication control method based on Kerner-Konhauser macroscopic traffic flow model

A macro-traffic flow and predictive control technology, applied in traffic control systems, road vehicle traffic control systems, instruments, etc., can solve problems such as poor real-time performance

Inactive Publication Date: 2012-12-26
NORTHWESTERN POLYTECHNICAL UNIV
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  • Description
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  • Application Information

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Problems solved by technology

[0006] In order to overcome the shortcomings of the existing FPGA predictive control method with poor real-time performance, the present invention provides an FPGA online predictive control method based on the Kerner-Konhauser macroscopic traffic flow model

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  • FPGA (Field Programmable Gate Array) online predication control method based on Kerner-Konhauser macroscopic traffic flow model
  • FPGA (Field Programmable Gate Array) online predication control method based on Kerner-Konhauser macroscopic traffic flow model
  • FPGA (Field Programmable Gate Array) online predication control method based on Kerner-Konhauser macroscopic traffic flow model

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Embodiment Construction

[0035] refer to figure 1 , 2 The present invention will be described in detail.

[0036] 1. According to the Kerner-Konhauser macro traffic flow model:

[0037] ∂ ρ ∂ t + ∂ ( ρv ) ∂ x = π [ r ( x , t ) , s ( x , t ) ...

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Abstract

The invention discloses an FPGA (Field Programmable Gate Array) online predication control method based on a Kerner-Konhauser macroscopic traffic flow model. The FPGA online predication control method is used for solving the technical problem that the conventional FPGA predication control method has poor instantaneity. According to the technical scheme, a parallel processing flow is established by carrying out approximate discretization on the model; a dynamical data storage scheme is designed; and predication control of blocked road turns and a variable information plate based on the Kerner-Konhauser macroscopic traffic flow model is realized by using an FPGA. Therefore, traffic flow density and a running speed of an expressway can be effectively controlled in real time.

Description

technical field [0001] The invention relates to an FPGA predictive control method, in particular to an FPGA online predictive control method based on a Kerner-Konhauser macro traffic flow 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, six are directly or indirectly related to automobile exhaust emissions. 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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/00
Inventor 史忠科刘通
Owner NORTHWESTERN POLYTECHNICAL UNIV
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