Online Traffic Bottleneck Predictive Control Method Based on FPGA and Improved Discrete Macro-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 a FPGA Control method, especially one based on FPGA And improved discrete macro D Online traffic bottleneck predictive control method based on macro traffic flow model. Background technique [0002] Traffic congestion has become the focus of common concern and an important issue that needs to be solved urgently by all countries in the world. 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 unexpected situations, some road sections have become the entire road. Bottlenecks, if they are not regulated, will accelerate the accumulation of traffic on the bottleneck sections, worsen the traffic conditions, cause congestion, and even paralyze the entire transportation network. [0003] At present, there are only two ways to control expressway traffic, namely variable information display boards for speed limit and turn control. In order ...

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 improved discrete macro D Model an online traffic bottleneck control method for discrete macro- D The model is improved, and the variable information display board is integrated into the discrete macro D model, based on FPGA platform through improved discrete macro D 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 control the traffic bottleneck online, can effectively solve the technical problem that the existing scheme is difficult to predict and control the traffic bottleneck online in the actual expressway or closed road

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