Traffic data obtaining method based on microblogs

Abstract

The invention discloses a traffic data obtaining method based on microblogs. The method comprises the steps of collecting the public traffic related microblogs, conducting word segmentation processing on each microblog, obtaining term composition of each microblog, generating a space vector of each microblog on the basis of the word segmentation result, conducting support vector machine training and classification analysis on the space vector of each microblog, finally achieving automatic classification discrimination of the microblogs through a computer, and extracting valuable information. According to the traffic data obtaining method, the traffic related data are automatically, rapidly and concurrently obtained from a large number of numerous and disordered data of the microblogs, meanwhile, features in the data are visually shown, and the data are accurately screened and classified. According to the traffic data obtaining method, a large number of classification traffic related data can be conveniently obtained with the low input, and the traffic data obtaining method is of great practical significance.

Description

technical field [0001] The invention relates to a data collection and processing method, in particular to a microblog-based traffic data acquisition method. Background technique [0002] With the rapid development of our country's social economy, a series of problems represented by traffic congestion, traffic environmental pollution and traffic accidents have emerged in major cities. The root cause is the imbalance between traffic supply and demand. Compared with pure natural sciences such as mathematics and physics, which rely on formulas and experiments, transportation science is more of a system engineering science. Therefore, for the solution of such problems, we cannot fully rely on the iteration of theoretical formulas and simulation experiments. When searching for solutions to traffic problems, carrying out traffic design, new construction, reconstruction and expansion of traffic facilities, etc., it must be based on a reasonable and effective grasp of actual traffic...

AI Technical Summary

Problems solved by technology

[0003] In the investigation and acquisition process of my country's existing traffic data, the artificial survey method has defects including time-consuming, manpower-consuming, and capital-consuming, and the traffic data obtained by this method has low timeliness and poor coverage. Narrow etc.

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