On-line traffic bottleneck predictive control method based on field programmable gate array (FPGA) and improved light water reactor (LWR) model

Abstract

The invention discloses an on-line traffic bottleneck control method based on a field programmable gate array (FPGA) and an improved light water reactor (LWR) model and aims to solve the technical problem that existing methods can not perform on-line predictive regulating and controlling for traffic bottlenecks in actual expressways or blocked roads. According to the on-line traffic bottleneck predictive control method, the LWR model is improved, a variable information display board is integrated into the LWR model, a whole predictive analysis is performed for the expressways or the blocked roads through the improved LWR model based on the FPGA platform, the road bottleneck is found out according to defined state variables, then control schemes of junction control and the variable information display board are provided, the control schemes can be taken into prediction models according to priority levels, a reasonable control scheme can be found out, the on-line control for the traffic bottleneck can be achieved, and thereby the traffic bottleneck in the expressways or the 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 LWR 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 effec...

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 LWR model, which performs LWR model Improvement, the variable information display board is integrated into the LWR model, based on the FPGA platform, the improved LWR model is used to predict and analyze the expressway or closed road as a whole, and the road bottleneck is found according to the defined state variables, and then the turn control and possible Change the control scheme of the information display board, and bring these control schemes into the prediction model according to the priority to find a reasonable control scheme, so as to carry out online control of the traffic bottleneck, which can effectively solve the problem that the existing scheme is difficult to use in the actual highway or closed road. Technical Problems of On-line Prediction and Regulation of Traffic Bottlenecks

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