Traffic Patterns Dataset
收藏arXiv2025-09-30 收录
下载链接：
https://archive.ics.uci.edu/ml/datasets/PEMS
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资源简介：
该数据集汇总了旧金山测量站网络全天收集的车辆车道占用率数据，其中包含了可能存在的季节性和工作日与周末的变化信息。该数据集包含了963个特征变量，覆盖了15个月的时间跨度，其任务是进行星期几的分类。
This dataset aggregates vehicle lane occupancy data collected around the clock by the San Francisco sensor network, which contains potential seasonal variations as well as differences between weekdays and weekends. It includes 963 feature variables, covers a 15-month temporal span, and the associated downstream task is day-of-week classification.
提供机构：
California Department of Transportation Performance Measurement System (PEMS)
