five

Traffic and Weather Datasets

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doi.org2025-01-22 收录
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http://doi.org/10.17632/2vgbsysz29.1
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资源简介:
The PeMS traffic datasets have been collected by the California Transportation (Caltrans) agency for 30-second granularity, and the raw and aggregated data are publicly available on their website (https://pems.dot.ca.gov/?dnode=Clearinghouse&type=meta&district_id=7&submit=Submit). We have gathered 5-minute aggregated vehicular traffic state (i.e traffic speed) dataset for district four and seven of California for 2022. We have used Bing Distance Matrix API to compute a driving distance between each sensor. The API can be used to compute a driving distance between a single source or multiple sources and source or multiple destinations at once. In addition, the weather datasets have been collected from https://www.visualcrossing.com/weather/weather-data-services and the datasets have one-hour granularity, and we have only removed some of the unnecessary columns.

加州交通局(Caltrans)机构基于30秒的时间分辨率,收集了PeMS交通数据集。该数据集的原始数据和汇总数据已在其网站上公开发布(https://pems.dot.ca.gov/?dnode=Clearinghouse&type=meta&district_id=7&submit=Submit)。我们收集了2022年加州第四和第七区5分钟汇总的车辆交通状态数据集(即交通速度)。此外,我们利用必应距离矩阵API计算了每个传感器之间的行驶距离。该API能够一次性计算单源或多源与单目的地或多目的地之间的行驶距离。同时,我们从https://www.visualcrossing.com/weather/weather-data-services收集了天气数据集,该数据集具有一小时的时间分辨率,我们仅删除了一些不必要的列。
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