System for analyzing pedestrian volume migration by utilizing shared travel big data

Abstract

The invention discloses a system for analyzing pedestrian volume migration by using shared travel big data, and belongs to the field of smart travel and public safety. The system comprises a data storage layer, a memory calculation layer, a people flow migration analysis layer and a visualization layer, the data storage layer is used for storing incremental data, and loading to a memory, a Spark SQL calculation framework is utilized to realize full-dose data calculation, and incremental calculation of shared travel data is realized by virtue of the Spark Streaming calculation framework; the memory calculation layer is used for realizing parallel calculation through the Map Reduce calculation framework; and meanwhile, the data is converted into intermediate data with an analysis value, thepeople flow migration analysis layer performs people flow migration analysis of a business district / city and people flow statistics of the city / business district on the basis of the intermediate data,and a final analysis result is presented through a migration broken line graph and a migration pie chart. The system has real-time performance; and high efficiency and expandability are achieved.

Description

technical field [0001] The invention belongs to the field of smart travel and public safety, and relates to the flow analysis of people in different areas; specifically, it is a system for analyzing the migration of people by using shared travel big data. Background technique [0002] With the continuous development of mobile positioning services and mobile terminals, the gradually accumulated migration data provide a data basis for population flow and spatiotemporal correlation analysis. The analysis of human flow migration is mainly oriented to statistics and modeling of population flow data between different regions within a certain period of time. There are different divisions of this kind of research on the scale of regional research: some take provinces, autonomous regions or municipalities directly under the central government as the smallest research unit, and the other take a certain region or characteristic city as the research unit. [0003] By analyzing the popu...

AI Technical Summary

Problems solved by technology

[0022] In order to solve the problems of difficult data restoration and lack of data incremental analysis in the existing people flow migration analysis, this invention proposes a system for analyzing people flow migration using shared travel big data, by combining shared travel big data with memory computing The method realizes the full amount of data processing and analysis, the unified processing and analysis framework of the flow of people between cities and business districts, and is suitable for data incremental analysis, with fast data processing speed and one-stop analysis and visualization Advantages of function

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