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

Abstract

The invention discloses an online traffic bottleneck prediction control method based on an FPGA (Field Programmable Gate Array) and an improved Kuhne 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 Kuhne model; fusing a variable information display board into the Kuhne model; carrying out predictive analysis on the high-speed road or blocked road through the improved Kuhne 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 present invention relates to a FPGA control methods, especially one based on FPGA and improve Kühne Online Traffic Bottleneck Predictive Control Method for Macroscopic Traffic Flow Models. 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...

AI Technical Summary

Problems solved by technology

[0007] In order to overcome the technical defect that existing methods are difficult to carry out online prediction and control of traffic bottlenecks in actual expressways or closed roads, the present invention provides a method based on FPGA and improvements Kühne Model online traffic bottleneck control method, the method for Kühne The model is improved, and the variable information display board is integrated into the Kühne model, based on FPGA platform through the improved Kühne The model predicts and analyzes the expressway or closed road as a whole, finds road bottlenecks according to the defined state variables, and then gives control schemes for turn control and variable information display boards, and brings these control schemes into the prediction model according to priority, Finding a reasonable control scheme, so as to carry out online control of traffic bottlenecks, can effectively solve the technical problem that existing schemes are difficult to predict and control traffic bottlenecks online in actual expressways or closed roads

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