Urban traffic flow tide simulation and analysis method based on large data analysis

Abstract

The invention discloses an urban traffic flow tide simulation and analysis method based on large data analysis. The method comprises the steps that a Hive table format is set up; after an industrial personal computer captures vehicle passing data, the vehicle passing data captured by the industrial personal computer are saved into a first database according to the format of an original data table of the vehicle passing data; the data, saved in the first database, of the former day are analyzed in a timing mode each day, the analyzed data are saved in a second database according to the format of a data analysis result table, and meanwhile the number of times for serving as a starting point and a finishing point of each place is recorded; the data are taken out from the data analysis result table saved in the second database and are combined with fixed time as time granularity, and the vehicle starting and finishing path development process is dynamically simulated on a CIS according to a time axis; according to the result of the step four, an effect image or a statistical table is generated through analysis, so that the conclusion suggestion of the urban traffic flow tide is obtained. The method has the advantages that the resource cost is reduced, and the data accuracy is ensured.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a method for simulating and analyzing urban traffic flow tides based on big data analysis. Background technique [0002] At present, with the continuous expansion of the scale of cities and the increase of population in our country, there will be obvious "tide tides" between a large number of residential quarters and the main working areas of the city, between the old city and the new city, etc., during the morning and evening peak hours. "Phenomenon; in the morning, a large number of vehicle crowds start from their respective residences, gather on the main road through the branch roads and head towards the work area; in the afternoon, these people and vehicles return to their residences according to the original route, resulting in the unbalanced two-way flow of time period Phenomenon. [0003] This "tide" phenomenon in each city includes multiple starting and endin...

AI Technical Summary

Problems solved by technology

[0005] 1) Manual investigation consumes a lot of resources, and with the development of the city, this investigation work may need to be restarted, and the time period is long

[0006] 2) Mathematical models usually draw conclusions in a relatively ideal state, and there are deviations from the authenticity of data results

[0007] 3) Traffic flow forecasting usually uses flow collection data for analysis, and the analysis results are mainly used to judge traffic conditions, such as congestion, slowness, and smoothness, but it cannot be judged for the tidal starting area

There will also be deviations between the implementation effect of the internal algorithm of the simulation software and the real situation

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