Continuous Flows in Multi-Temporal Mobility Networks: A New Method for Detecting High-order Spatiotemporal Patterns in OD Data
收藏DataCite Commons2024-02-05 更新2024-08-19 收录
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https://figshare.com/articles/dataset/Continuous_Flows_in_Multi-Temporal_Mobility_Networks_A_New_Method_for_Detecting_High-order_Spatiotemporal_Patterns_in_OD_Data/25115786
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资源简介:
The compressed data.zip file contains an example of order OD data generated by taxi operations in Xiamen (using data generated on June 18, 2020 as an example).The zip file code.zip contains a paper under review (" Continuous Flows in Multi-Temporal Mobility Networks: A New Method for Detecting High-Order Spatio Time Patterns in OD Data ").In the compressed code.zip file, the file Extraction_of_STCFs.py is used to extract STCF from multiple csv files containing the order data, and the file Extraction_of_STCFs.py is used to calculate various metrics for STCF and LOOP in the article. The file Frequent_pattern_mining_on_STCFs.py is used to mine frequent patterns from a large number of STCFs.
提供机构:
figshare
创建时间:
2024-01-31



