Online traffic bottleneck prediction control method based on FPGA and improved Ross model

Abstract

The invention discloses an online traffic bottleneck prediction control method based on an FPGA (Field Programmable Gate Array) and an improved Ross model, which is used for solving the technical problem that the conventional method is unlikely to perform online prediction regulation control on traffic bottleneck in the practical high-speed road or blocked road. The online traffic bottleneck prediction control method comprises the following steps: improving a Ross model; fusing a variable information display board into the Ross model; carrying out predictive analysis on the high-speed road or blocked road through the improved Ross model based on an FPGA platform; finding out the traffic bottleneck according to the defined state variable; giving out control schemes for gate control and the variable information display board, and introducing the control schemes into a prediction model by priority to find a reasonable control scheme; and carrying out online control on the traffic bottleneck, so that the traffic bottleneck in the high-speed road or blocked road 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 Ross 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 effe...

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 Ross model, which performs Ross model Improve, integrate the variable information display board into the Ross model, predict and analyze the expressway or closed road as a whole through the improved Ross model based on the FPGA platform, find the road bottleneck according to the defined state variables, and then give 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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