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FPGA (Field Programmable Gate Array) online prediction control method based on Aw-Rascle 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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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 Aw-Rascle macroscopic traffic flow model

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  • FPGA (Field Programmable Gate Array) online prediction control method based on Aw-Rascle macroscopic traffic flow model
  • FPGA (Field Programmable Gate Array) online prediction control method based on Aw-Rascle macroscopic traffic flow model
  • FPGA (Field Programmable Gate Array) online prediction control method based on Aw-Rascle macroscopic traffic flow model

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Embodiment Construction

[0033] Reference figure 1 , 2 The present invention is explained in detail.

[0034] 1. According to the Aw-Rascle macroscopic traffic flow model:

[0035] ∂ ρ ∂ t + ∂ ( ρv ) ∂ x = π [ r ( x , t ) , s ( x , t ) ] ∂ ( v + P ( ρ ) ) ∂ t + v ∂ ( v + P ( ρ ) ) ∂ x = 0

[0036] 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 simulated road, and π[r(x,t), s(x,t)] is due to the entrance of 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 traffic flow from the turn, s q (x, t) is the increase in traffic caused by the forced driving out of the vehicle on t...

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Abstract

The invention discloses an FPGA (Field Programmable Gate Array) online prediction control method based on an Aw-Rascle macroscopic traffic flow model. The technical problem that the conventional FPGA prediction control method has poor instantaneity can be solved. 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 the predication control of blocked road turns and a variable information plate based on the Aw-Rascle 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 an Aw-Rascle 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 can ...

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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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