Traffic and Weather Datasets
收藏Mendeley Data2024-03-27 更新2024-06-26 收录
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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.
PeMS交通数据集由加利福尼亚州交通局(California Transportation, Caltrans)以30秒的时间粒度采集,其原始数据与聚合数据已在其官方网站(https://pems.dot.ca.gov/?dnode=Clearinghouse&type=meta&district_id=7&submit=Submit)公开获取。我们采集了2022年加州第四、第七辖区的5分钟聚合机动车交通状态(即交通速度)数据集。我们使用必应距离矩阵API(Bing Distance Matrix API)计算各传感器间的驾车距离,该API支持单次计算单个或多个起点至单个或多个终点的驾车距离。此外,我们从https://www.visualcrossing.com/weather/weather-data-services 获取了天气数据集,该数据集的时间粒度为1小时,我们仅移除了部分非必要字段。
创建时间:
2024-01-23



