On-line traffic bottleneck predictive control method based on field programmable gate array (FPGA) and improved dispersed macroscopic D model

Abstract

The invention discloses an on-line traffic bottleneck predictive control method based on a field programmable gate array (FPGA) and an improved dispersed macroscopic D model. The method is used for solving the technical problem that by means of existing methods, on-line predictive control of traffic bottlenecks in actual highways or closed roads is difficult to achieve. The method improves a dispersed macroscopic D model and integrates a variable information display board into the dispersed macroscopic D model, the highways or the closed roads are wholly subjected to predictive analyzing through the improved dispersed macroscopic D model on the basis of an FPGA platform, the traffic bottlenecks are found according to defined state variables, control schemes of a turn port and the variable information display board are given, and the control schemes are brought to a prediction model according to priority to find a reasonable control scheme so that on-line control of the traffic bottlenecks is achieved, and the traffic bottlenecks on the highways or the closed roads 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 discrete macro D macro 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 t...

AI Technical Summary

Problems solved by technology

[0007] In order to overcome the technical defect that the existing methods are difficult to carry out online prediction and control of traffic bottlenecks in actual expressways or closed roads, the present invention provides an online traffic bottleneck control method based on FPGA and improved discrete macro-D model. The macro D model is improved, and the variable information display board is integrated into the discrete macro D model. Based on the FPGA platform, the improved discrete macro D model is used to predict and analyze the expressway or closed road as a whole, and find the road bottleneck according to the defined state variables. Furthermore, the control schemes for turn control and variable information display boards are given, and these control schemes are brought into the prediction model according to the priority to find a reasonable control scheme, so as to carry out online control of traffic bottlenecks, which can effectively solve the problem that existing schemes are difficult to solve. Technical Issues of On-Line Prediction and Regulation of Traffic Bottlenecks in Actual Expressways or Closed Roads

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