On-line predictive control method of traffic bottlenecks based on field programmable gate array (FPGA) and improved Kerner-Konhauser model

Abstract

The invention discloses an on-line predictive control method of traffic bottlenecks based on an FPGA and an improved Kerner-Konhauser model, and aims to solve the technical problem that on-line predictive control is difficult to perform on the traffic bottlenecks on actual highways or blocked roads in the existing method. According to the method, the Kerner-Konhauser model is improved, a variable information display board is integrated into the Kerner-Konhauser model, predictive analysis is performed on highways or blocked roads based on an FPGA platform and the improved Kerner-Konhauser model, the traffic bottlenecks are found according to a defined state variable, and then control schemes of ramp control and the variable information display board are provided and taken to prediction models according to priority to find reasonable control schemes to perform on-line control on the traffic bottlenecks, so that the traffic bottlenecks on the actual highways or blocked 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 Kerner-Konhauser 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 o...

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 Kerner-Konhauser model. -The Konhauser model is improved, and the variable information display board is integrated into the Kerner-Konhauser model. Based on the FPGA platform, the improved Kerner-Konhauser model is used to predict and analyze the highway 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 difficulties in existing schemes. Technical Issues of On-Line Prediction and Regulation of Traffic Bottlenecks in Actual Expressways or Closed Roads

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