Land traffic generation and distribution prediction method and system

Abstract

The invention discloses a land traffic generation and distribution prediction method and a system, and relates to the technical field of traffic planning, traffic models, urban planning and urban management, and the method comprises the steps: obtaining OD traffic data of a background region; determining the land property and the building area of the target community; screening background trafficcells similar to the target cell from the background area OD traffic data according to the distance similarity index and the land property similarity index, and determining a similarity value betweeneach background traffic cell and the target cell; and predicting the traffic generation amount and traffic distribution of the target cell according to the similarity value of each background trafficcell and the target cell, the traffic generation amount per unit area of each background traffic cell, the traffic distribution of each background traffic cell and the building area of the target cell. According to the method, on the premise of ensuring the accuracy, the defects of difficult modeling, complex calibration and low efficiency in the traffic generation and distribution prediction process are overcome.

Description

technical field [0001] The invention relates to the technical fields of traffic planning, traffic model, city planning and city management, in particular to a method and system for land traffic generation and distribution prediction. Background technique [0002] Traffic forecasting is to use computer technology to simulate the changing rules of urban spatial layout and traffic travel, and provide decision-making basis for city builders. [0003] In the existing technology, the traditional traffic forecasting models include the growth rate method, the gravity model method, the opportunity model method, etc. Although these methods have relatively high accuracy, they require a large amount of data, and the modeling and calibration process is also very complicated. . Contents of the invention [0004] In order to overcome one or more defects in the background technology, the present invention provides a method and system for land traffic generation and distribution predictio...

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, the traditional traffic forecasting models include the growth rate method, the gravity model method, the opportunity model method, etc. Although these methods have relatively high accuracy, they require a large amount of data, and the modeling and calibration process is also very complicated.

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