Published on 22 March 2024 |
ActiSynValidator Data Set
View DatasetDescription
ActiSynValidator Data SetThe ActiSynValidator data set is an aggregated activity data set derived from the HETUS 2010 time use survey. It is intended to enable reusable and reproducible validation of various behavior models.The ActiSynValidator software framework belongs to this data set, and together they can be used to validate activity profiles, e.g. the results of an occupant behavior model. It provides modules for preprocessing and categorising activity profiles, and comparing them to the statistics in this data set using indicators and plots. It also contains the code that was used to create this data set out of the HETUS 2010 data, so that the generation of this data set is fully reproducible.Activity Profile CategorizationThe HETUS data set consists of many single-day activity profiles. These cannot be made publicly accessible due to data protection regulations. The idea of the ActiSynValidator data set is to aggregate these activity profiles using a meaningful classification, to provide behavior statistics for different types of activity profiles. For that, the attributes country, sex, work status, and day type are used.Activity StatisticsHuman behavior is complex, and in order to thorougly validate it, multiple aspects have to be taken into account. Therefore, the ActiSynValidator data set contains distributions for duration and frequency of each activity, as well as the temporal distribution throughout the day. For that purpose, a set of 15 common activity groups is defined. The mapping from the 108 activity codes used in HEUTS 2010 is provided as part of the validation framework.File OverviewFor convenience, the ActiSynValidator data set is provided both as .tar.gz and as .zip archive. Both files contain the same content, the full activity validation data set.Additionally, the document ActiSynValidator_data_set_description.pdf contains a more thorough description of the data set, including its file structure, the content and meaning of its files, and examples on how to use it.
Citations (1)
Cited on 13 November 2024
Weight: 1.00
Mentions (0)
No mentions found
Metrics Over Time
Publication Details
Subfield
Artificial Intelligence
Field
Computer Science
Domain
Physical Sciences
Confidence Score
40%
Source
Scholar Data Model