Temporal-spatial data mining-based metro passenger classification method
A classification method and spatio-temporal data technology, applied in database models, relational databases, electrical digital data processing, etc.
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[0048] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.
[0049]The present invention provides a method for classifying subway passengers based on spatio-temporal data mining, such as figure 1 shown, including steps:
[0050] Step S1, basic data calculation, including smart card effective statistics and inter-site similarity calculation;
[0051] Step S2, data preprocessing, such as figure 2 Shown:
[0052] S21. Filter the transaction records with missing fields; for example, the transaction records with missing travel time fields, card number fields, station information, etc.
[0053] S22. Using the card number of the smart card as the unique identifier of the passenger, sort all transaction records of the smart card by time, wherein the transaction records include outbound and inbound information, and calculate each ride record in the smart card; that is Match the starting point and e...
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