Papasgeorgiou-E macroscopic traffic flow model-based FPGA (Field Programmable Gate Array) online predicting control method

A macro-traffic flow, predictive control technology, applied in traffic flow detection, traffic control system, road vehicle traffic control system, etc., can solve problems such as poor real-time performance, and achieve the effect of driving speed.

Inactive Publication Date: 2012-12-19
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 Papageorgiou-E macroscopic traffic flow model

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  • Papasgeorgiou-E macroscopic traffic flow model-based FPGA (Field Programmable Gate Array) online predicting control method
  • Papasgeorgiou-E macroscopic traffic flow model-based FPGA (Field Programmable Gate Array) online predicting control method
  • Papasgeorgiou-E macroscopic traffic flow model-based FPGA (Field Programmable Gate Array) online predicting control method

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Embodiment Construction

[0025] refer to figure 1 , 2 The present invention will be described in detail.

[0026] 1. Papageorgiou-E model:

[0027]

[0028] In the formula: T is the sampling period, the road is divided into N sections, and the length of each section is Δ i , ρ i (k) represents the average vehicle density of the i-th road segment within [kT, (k+1)T], q i (k) represents the flow of the i-th road segment within [kT, (k+1)T], v i (k) represents the average vehicle speed of the i-th road segment at [kT, (k+1)T], r i (k) represents the traffic flow of the i-th road section entering from the turn in [kT, (k+1)T], s i (k)=s 0i (k)+s qi (k) indicates the traffic flow of the i-th road section from the turn in [kT, (k+1)T], s 0i (k) is the normal traffic flow out of the turn, s qi (k) is the flow increment caused by the vehicle being forced out of the information display board, α is an adjustable parameter (0≤α≤1), V e (ρ i (k)) is the equivalent speed, υ, κ are constants, and the...

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Abstract

The invention discloses a Papasgeorgiou-E macroscopic traffic flow model-based FPGA (Field Programmable Gate Array) online predicting control method for solving the technical problem of poor real-time property of a traditional FPGA prediction control method. The technical scheme is as follows: the FPGA online predicting control method comprises the following steps of: establishing a parallel processing flow and designing a dynamic data storage scheme by carrying out model approximate discretization processing; and realizing the prediction and the control over a closed road turn and a variable information sign on the basis of the Papasgeorgiou-E macroscopic traffic flow model. According to the FPGA online predicting control method, the real-time effective control over the traffic flow density and the travel speed of an expressway is realized.

Description

technical field [0001] The invention relates to an FPGA predictive control method, in particular to an FPGA online predictive control method based on the Papageorgiou-E 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 acc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/00G08G1/01G06F19/00
Inventor 史忠科刘通
Owner NORTHWESTERN POLYTECHNICAL UNIV
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