A Spatio-temporal Regular Passenger Clustering and Edge Detection Method for Subway

Abstract

The invention belongs to the technical field of information data processing, and provides a temporally and spatially regular subway passenger clustering and edge detecting method. The temporally and spatially regular subway passenger clustering and edge detecting method includes steps of S1, acquiring detailed information of temporal-spatial regulation of temporally and spatially regular subway passengers from source data which contain all riding records of the passengers; S2, clustering the temporally and spatially regular subway passengers according to the acquired detailed information of the temporal-spatial regulation; S3, performing edge detection on the clustered temporally and spatially regular subway passengers and analyzing edge features of the clustered temporally and spatially regular subway passengers. The temporally and spatially regular subway passenger clustering and edge detecting method has the advantages that subway passengers are classified on the basis of temporal-spatial data mining, the temporally and spatially regular passengers are clustered according to the quantities of regular time frames of the temporally and spatially regular passengers, and each class of temporally and spatially regular passengers are analyzed and are subjected to edge detection, so that life features of the passengers can be effectively comprehended.

Description

technical field [0001] The invention belongs to the technical field of information data processing, and in particular relates to a method for clustering and edge detection of subway passengers with regularity in time and space. Background technique [0002] Compared with traditional public transportation payment methods, such as cash payment, annual card, and monthly card, smart cards have the advantages of convenience, convenience, and low cost; compared with traditional public transportation data collection, decision-making service capabilities, and life service capabilities, etc. , Smart cards have the advantages of data integrity, consistency, low cost of data collection, accuracy and reliability of analysis results, etc. [0003] To sum up, the use of smart cards has brought very obvious convenience and benefits. Smart cards have become an indispensable tool in modern public transportation, and have been rapidly popularized and widely used. In the era of big data, with...

AI Technical Summary

Problems solved by technology

[0004] At present, there are relatively few related studies on the classification of passengers based on their spatio-temporal laws. Existing related research mainly focuses on the analysis of passengers combined with the types of smart cards, and compares the differences in the characteristics of different types of passengers.

However, there are relatively few studies on passenger classification based on the spatio-temporal characteristics of passengers.

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