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fpga online predictive control method based on michalopoulos macroscopic traffic flow model

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

Inactive Publication Date: 2015-08-19
NORTHWESTERN POLYTECHNICAL UNIV
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  • Abstract
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AI Technical Summary

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 Michalopoulos macroscopic traffic flow model

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  • fpga online predictive control method based on michalopoulos macroscopic traffic flow model
  • fpga online predictive control method based on michalopoulos macroscopic traffic flow model
  • fpga online predictive control method based on michalopoulos macroscopic traffic flow model

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Embodiment Construction

[0030] Reference figure 1 , 2 The present invention is explained in detail.

[0031] 1. According to the Michalopoulos macroscopic traffic flow model:

[0032] ∂ ρ ∂ t + ∂ ( ρv ) ∂ x = π [ r ( x , t ) , s ( x , t ) ] ∂ v ∂ t + v ∂ v ∂ x = Φ T [ v f ( x ) - v ] - G - υρ β ∂ ρ ∂ x T = t 0 ( 1 + rρ ρ jam - rρ ) G = μρ ϵ g

[0033] In the formula: ρ is the average density of the vehicle, v is the average speed, t is the time, x is the distance from the starting point of the simulation road, and π[r(x,t),s(x,t)] is the entry due to the turn Or the density change rate function caused by the outgoing traffic volume, r(x,t) is the traffic volume entering from the turn, s(x,t)=s 0 (x,t)+s q (x,t) is the volume of traffic leaving the turn, s 0 (x, t) is the normal ...

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Abstract

The invention discloses an FPGA (Field Programmable Gate Array) online predication control method based on a Michalopoulos 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 Michalopoulos 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 a Michalopoulos macroscopic traffic flow model. Background technique [0002] With the rapid economic development and the continuous increase in car ownership, traffic congestion has become the focus of common concern and an important problem that needs to be solved urgently by all countries in the world. Traffic congestion has also caused serious environmental pollution. There are nine major air pollutants. Among them, 6 are directly or indirectly related to vehicle exhaust emissions. The concentration of harmful substances emitted by vehicles in a traffic jam is 5-6 times higher than that of normal driving. In addition, traffic congestion and traffic accidents are two major problems of urban traffic symbiosis. On the one hand, the dense traffic flow during the peak period of urban traffic causes frequent traffic accidents, which c...

Claims

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Application Information

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