five

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
下载链接:
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
下载链接
链接失效反馈
官方服务:
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
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作