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首页> 美国卫生研究院文献>Data in Brief >On-street parking availaibilty data in San Francisco from stationary sensors and high-mileage probe vehicles
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On-street parking availaibilty data in San Francisco from stationary sensors and high-mileage probe vehicles

机译：来自固定传感器和高里程探测车辆的旧金山路边停车可用性数据

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摘要

This dataset contains records of the measured on-street parking availability in San Francisco, obtained from the public API of the SFpark project.In 2011, the San Francisco Municipal Transportation Agency (SFMTA) started a project on smart parking, called SFpark, whose goal was the improvement of on-street parking management in San Francisco, mostly by means of demand-responsive price adjustments [1]. One of the key points of the project was the collection of information about on-street parking availability. To this aim, about 8,000 parking spaces were equipped with specific sensors in the asphalt, periodically broadcasting availability information. The SFpark project made available a public REST API, returning the number of free parking spaces and total number of provided parking spaces per road segment, for 5,314 parking spaces on 579 road segments in the pilot area. We collected parking availability data from 2013/06/13 until 2013/07/24, by querying this API at approximately 5-min intervals. As a result, we obtained in total about 7 million observations of parking availability on the road segments. These observations represent the first dataset we are providing.In addition, we simulated the achievable sensing coverage of on-street parking availability that could be achieved by a fleet of taxis, if they were equipped with sensors able to detect free parking spaces, like side-scanning ultrasonic sensors , or windshield-mounted cameras . In particular, by exploiting real taxi trajectories in San Francisco from the Cabspotting project , we first computed the frequencies of taxi visits for each road segment covered by the SFpark sensors. Then, we downsampled the first dataset, in order to have a parking availability information for a road segment at a given time only in presence of a transit of a taxi on that segment at that time. This step was replicated for 5 different sizes of taxi fleets, namely 100, 200, 300, 400, and 486.Consequently, in total six datasets are available for further research in the field of on-street parking dynamics.All these datasets can be downloaded at: .
机译：该数据集包含从SFpark项目的公共API获得的旧金山路边停车可利用性的测量记录。 2011年，旧金山市政运输局（SFMTA）启动了一项关于智能停车的项目。停车，称为SFpark，其目标是主要通过需求响应型价格调整来改善旧金山的路内停车管理[1]。该项目的重点之一是收集有关路旁停车位的信息。为此，大约8,000个停车位在沥青中装有特定的传感器，并定期广播可用性信息。 SFpark项目提供了公共REST API，返回了每个路段的免费停车位数量和所提供的停车位总数，以供试点地区579个路段上的5,314个停车位使用。我们通过大约5分钟的时间间隔查询此API，收集了2013年6月13日至2013年7月24日的停车可用性数据。结果，我们总共获得了约700万条路段停车位的观测值。这些观察结果代表了我们提供的第一个数据集。此外，如果模拟出租车配备了能够检测自由停车位的传感器（例如侧面），则可以模拟可达到的路上停车可用性感应范围扫描超声波传感器或安装在挡风玻璃上的照相机。特别是，通过利用Cabspotting项目中旧金山的真实出租车轨迹，我们首先计算了SFpark传感器覆盖的每个路段的出租车访问频率。然后，我们对第一个数据集进行了下采样，以仅在当时有出租车在该路段经过的情况下，在给定时间获得该路段的停车可用性信息。此步骤针对5种不同大小的出租车车队进行了重复，分别为100、200、300、400和486，因此，共有6个数据集可用于路内停车动力学领域进行进一步研究。下载地址：。

著录项

  • 期刊名称 Data in Brief
  • 作者

    Fabian Bock; Sergio Di Martino;

  • 作者单位
  • 年(卷),期 2019(25),-1
  • 年度 2019
  • 页码 104039
  • 总页数 6
  • 原文格式 PDF
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