Online traffic bottleneck prediction control method based on FPGA and improved Ross model

A technology of predictive control and model, applied in the field of FPGA control

A technology of predictive control and model, applied in the field of FPGA control

CN102930727AInactive Publication Date: 2013-02-13XIAN FEISIDA AUTOMATION ENG

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  • Online traffic bottleneck prediction control method based on FPGA and improved Ross model
  • Online traffic bottleneck prediction control method based on FPGA and improved Ross model
  • Online traffic bottleneck prediction control method based on FPGA and improved Ross model

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Experimental program
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Embodiment Construction

[0034] Refer to attached figure 1 , 2 Describe the present invention in detail.

[0035] The flow chart of the control method of the present invention is attached figure 2 As shown, in the case of no traffic bottleneck, the control scheme is that the variable display board displays the free flow speed allowed by the road, and the turn control does not limit the input and output, and the traffic flow density, vehicle average speed, and variable display board display The speed and turn control scheme predicts the traffic flow density and the average vehicle speed of each road section for a period of time T c (T c take T 0 , T 1 large value between), and judge whether there is a traffic bottleneck, if there is no traffic bottleneck, use the current control scheme for regulation, if there is a bottleneck, adjust the display speed of the variable display board and the turn control scheme according to the aforementioned priority principle, and continue to predict for some time...

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Abstract

The invention discloses an online traffic bottleneck prediction control method based on an FPGA (Field Programmable Gate Array) and an improved Ross model, which is used for solving the technical problem that the conventional method is unlikely to perform online prediction regulation control on traffic bottleneck in the practical high-speed road or blocked road. The online traffic bottleneck prediction control method comprises the following steps: improving a Ross model; fusing a variable information display board into the Ross model; carrying out predictive analysis on the high-speed road or blocked road through the improved Ross model based on an FPGA platform; finding out the traffic bottleneck according to the defined state variable; giving out control schemes for gate control and the variable information display board, and introducing the control schemes into a prediction model by priority to find a reasonable control scheme; and carrying out online control on the traffic bottleneck, so that the traffic bottleneck in the high-speed road or blocked road can be effectively controlled.

Description

technical field [0001] The invention relates to an FPGA control method, in particular to an online traffic bottleneck prediction control method based on the FPGA and an improved Ross macroscopic traffic flow model. Background technique [0002] Traffic congestion has become the focus of common attention of all countries in the world and an important problem that needs to be solved urgently. The traffic bottleneck problem is one of the most important problems restricting traffic flow. Due to the limitation of hardware facilities or the impact of emergencies, some sections of the road become If the bottleneck is not regulated, it will accelerate the accumulation of traffic in the bottleneck section, worsen the traffic condition, cause congestion, and even lead to the paralysis of the entire transportation network. [0003] At present, there are only two ways of expressway traffic regulation: variable information display boards for speed limit and turn control. In order to effe...

Claims

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Application Information

Patent Timeline
13 Feb 2013
Publication
CN102930727A
IPC
G08G1/08; G06F19/00
Inventors
史忠科; 刘通