Improved cellular automaton traffic flow simulation analysis method based on geographic information system

Abstract

The invention discloses an improved cellular automaton traffic flow simulation analysis method based on a geographic information system. According to the method, multi-criteria judgment, logistic regression, an improved principal component analysis method and an improved decision-making tree and kernel-based learning machine method are comprehensively used for mining and extracting the transformational rule of a cellular automaton, then the improved cellular automaton is used for conducting simulation analysis of traffic flow, and corresponding traffic flow data, geographic information data and the like are used for conducting traffic flow modeling and analysis. The method is based on a geographic information system technology and a database technology to conduct unified control and management on traffic flow information, geographic information and social information in a studied area. The method achieves integrated simulation analysis and maintenance management with diagrams and texts, comprehensive inquiry, thematic map and spatial analysis and traffic flow simulation analysis, the intelligence level and the aid decision making capacity of traffic management are improved, and the method is of certain reference significance to work study in the related fields.

Description

technical field [0001] The invention belongs to the technical field of geographic data processing, and relates to an improved cellular automaton traffic flow simulation analysis method based on a geographic information system. Background technique [0002] Due to its own characteristics, cellular automata are very suitable for the simulation analysis of spatial data. Nowadays, there are cases of optimizing cellular automata such as principal component analysis, decision tree and kernel learning machine and applying them to land planning, but there is no Applying it to the case of traffic flow simulation analysis, the present invention first improves algorithms such as principal component analysis, decision tree and kernel learning machine, and then uses the improved algorithm to mine and extract the conversion rules of cellular automata, and then performs traffic flow simulation Analysis, so far there is no research case in the field. [0003] The traditional cellular autom...

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Problems solved by technology

[0004] The purpose of the present invention is to provide an improved cellular automaton traffic flow simulation analysis method based on geographic information systems, which solves the shortcomings of the traditional single method traffic flow simulation analysis method, such as low efficiency and limited spatial analysis level. The application of cellular automaton and geographic information system has improved the simulation and analysis level of this method to a certain extent

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