SINPA
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/yoshall/SINPA
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资源简介：
该数据集名为SINPA，包含了新加坡1,687个停车场一整年的停车位可用性数据，同时丰富了多种空间和时间因素的信息。此外，数据集还包括了额外的属性，如气象数据、停车场类型以及道路网络数据，并为了分析目的，将数据重新采样为每15分钟一个时间间隔。规模上，涵盖了1,687个停车场。该数据集的任务是预测停车位的可用性。
The dataset is named SINPA. It contains one-year-long parking space availability data from 1,687 parking lots in Singapore, along with rich information on various spatial and temporal factors. Additionally, the dataset includes supplementary attributes such as meteorological data, parking lot types, and road network data, and the raw data was resampled to a 15-minute time interval for analytical purposes. In terms of scale, this dataset covers 1,687 parking lots. The task associated with this dataset is parking space availability prediction.
提供机构：
Data.gov.sg, Urban Redevelopment Authority (URA), Land Transport Authority (LTA)
