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FPGA (Field Programmable Gate Array) online predication control method based on LWR (Lighthill-Whitham-Richards) 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

Active Publication Date: 2012-12-26
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

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

Method used

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  • FPGA (Field Programmable Gate Array) online predication control method based on LWR (Lighthill-Whitham-Richards) macroscopic traffic flow model
  • FPGA (Field Programmable Gate Array) online predication control method based on LWR (Lighthill-Whitham-Richards) macroscopic traffic flow model
  • FPGA (Field Programmable Gate Array) online predication control method based on LWR (Lighthill-Whitham-Richards) macroscopic traffic flow model

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Embodiment Construction

[0033] refer to figure 1 , 2 The present invention will be described in detail.

[0034] 1. According to the LWR model:

[0035] ∂ 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 an LWR (Lighthill-Whitham-Richards) macroscopic traffic flow model, which is used for solving a technical problem of poor real-time property of the traditional FPGA online predication control method. A technical scheme is as follows: through carrying out approximate discrete processing on the model, establishing a parallel processing flow and designing a dynamic data storage scheme, predication controls of a sealed road ramp entrance and a variable information board based on the LWR macroscopic traffic flow model are achieved by using the FPGA. Therefore, traffic flow density and running speed on a highway are 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 an LWR macroscopic 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 occur...

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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