Online Traffic Bottleneck Predictive Control Method Based on FPGA and Improved Zhang Modified Model

Abstract

The invention discloses a method for predicting and controlling traffic bottlenecks on line based on an FPGA and an improved Zhang improved model. The method is used for solving the technical problem that traffic bottlenecks are difficult to predict and control on line in actual expressways or blocked roads in prior methods. According to the method, the Zhang improved model is improved, variable information display plates are blended into the Zhang improved model, predictive analysis is performed on expressways or blocked roads through the Zhang improved model based on a FPGA platform, the traffic bottlenecks are found according to defined state variables, further control schemes for ramp entrance control and the variable information display plates are given, the control schemes are brought to a prediction model according to priority levels, reasonable control schemes are found, and the traffic bottlenecks are controlled on line, so that the traffic bottlenecks in expressways or blocked roads can be controlled effectively.

Description

technical field [0001] The invention relates to an FPGA control method, in particular to an online traffic bottleneck prediction control method based on FPGA and improved Zhang's improved 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...

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 an online traffic bottleneck control method based on FPGA and improved Zhang's improved model. The model is improved, and the variable information display board is integrated into Zhang's improved model. Based on the FPGA platform, the improved Zhang's improved 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, and then give the turn Control schemes for port control and variable information display boards, and bring these control schemes into the predictive model according to 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 achieve in actual high-speed traffic. Technical Problems of On-Line Prediction and Regulation of Traffic Bottlenecks in Highways or Closed Roads

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