CRAWDAD epfl/mobility
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This dataset contains mobility traces of taxi cabs in San Francisco, USA. It contains GPS coordinates of approximately 500 taxis collected over 30 days in the San Francisco Bay Area.date/time of measurement start: 2008-05-17date/time of measurement end: 2008-06-10collection environment: This data set contains mobility traces of taxi cabs in San Francisco, USA. It contains GPS coordinates of approximately 500 taxis collected over 30 days in the San Francisco Bay Area. Cab mobility traces are provided by the Exploratorium - the museum of science, art and human perception through the cabspotting project: http://cabspotting.org . Cabspotting is designed as a living framework to use the activity of commercial cabs as a starting point to explore the economic, social, political and cultural issues that are revealed by the cab traces. Where do cabs go the most? Where do they never turn up? Cab Projects are vehicles for artists, writers, or researchers to explore these issues in the form of a small experiment, investigation or observation. network configuration: Cab mobility traces are provided by the Exploratorium - the museum of science, art and human perception through the cabspotting project: http://cabspotting.org . "Each San Francisco based Yellow Cab vehicle is currently outfitted with a GPS tracking device that is used by dispatchers to efficiently reach customers. The data is transmitted from each cab to a central receiving station, and then delivered in real-time to dispatch computers via a central server. This system broadcasts the cab call number, location and whether the cab currently has a fare."(*) You can use this data set of cab mobility traces that were collected in May 2008. (*) http://cabspotting.org/about.htmldata collection methodology: Each taxi is equipped with a GPS receiver and sends a location-update (timestamp, identifier, geo-coordinates) to a central server. The location-updates are quite fine-grained - the average time interval between two consecutive location updates is less than 10 sec, allowing us to accurately interpolate node positions between location-updates.sanitization: Out of respect for the privacy of cab drivers and customers, no direct access to cab data with identifiable cab numbers is provided to the public. The project emphasizes the analysis of aggregate data and data patterns, with most of this analysis happening on historic data and larger data patterns using scrambled cab numbers. Tracesetepfl/mobility/cabThis traceset contains mobility traces of taxi cabs in San Francisco, USA. It contains GPS coordinates of approximately 500 taxis collected over 30 days in the San Francisco Bay Area.file: cabspottingdata.tar.gzmeasurement purpose: User Mobility Characterization, Location-aware Computing, Human Behavior Modelingmethodology: The cab locations are not stored by Yellow Cab, but only used in real-time to aid dispatch. Our system talks to the Yellow Cab server and stores the data in a database, encoding the call number for privacy. Server-side processes computer the aggregate map at various time intervals (10 minute, 1 hour, 8 hours, etc.) and store these frames as Postscript and bitmap images. These are subsequently combined into movies for every day, week, etc. Images and movies can be queried by visitors to the site in the Time Lapse area. A sample of real-time data overlaid on the most recent map can be seen in the Cab Tracker client. You can collect your own cab mobility traces following the instructions from http://cabspotting.org/api.mobility/cab Traces may_2008: Mobility traces of taxi cabs in San Francisco, USAconfiguration: This archive contains file '_cabs.txt' with the list of all cabs and for each cab its mobility trace in a separate ASCII file, e.g. 'new_abboip.txt'.format: The format of each mobility trace file is the following - each line contains [latitude, longitude, occupancy, time], e.g.: [37.75134 -122.39488 0 1213084687], where latitude and longitude are in decimal degrees, occupancy shows if a cab has a fare (1 = occupied, 0 = free) and time is in UNIX epoch format.
本数据集包含美国旧金山出租车的移动轨迹数据，涵盖旧金山湾区30天内采集的约500辆出租车的GPS（Global Positioning System）坐标信息。 测量起始时间：2008-05-17 测量终止时间：2008-06-10 采集背景：本数据集包含美国旧金山出租车的移动轨迹数据，涵盖旧金山湾区30天内采集的约500辆出租车的GPS坐标信息。本次出租车移动轨迹数据由探索博物馆（科学、艺术与人类感知博物馆）通过cabspotting项目提供，项目网址：http://cabspotting.org。cabspotting项目旨在构建一个动态研究框架，以商业出租车的运营活动为切入点，探究出租车轨迹所揭示的经济、社会、政治与文化议题。例如：出租车最常去往何处？哪些区域鲜有出租车停靠？该项目为艺术家、创作者与研究者提供了载体，使其可通过小型实验、调研或观察的方式探究上述议题。 网络架构：出租车移动轨迹数据由探索博物馆（科学、艺术与人类感知博物馆）通过cabspotting项目提供，项目网址：http://cabspotting.org。*旧金山当地的Yellow Cab（黄色出租车公司）车辆均搭载了GPS追踪设备，供调度员高效对接乘客需求。数据从每辆出租车传输至中央接收站，随后通过中央服务器实时推送至调度终端。该系统会广播出租车呼叫编号、当前位置以及是否搭载乘客的状态。您可使用本数据集包含的2008年5月采集的出租车移动轨迹数据。相关说明详见：http://cabspotting.org/about.html 数据采集方法：每辆出租车均搭载GPS接收器，并向中央服务器发送位置更新信息（包含时间戳、标识符与地理坐标）。位置更新频率极高——两次连续位置更新的平均时间间隔不足10秒，可支持我们对位置更新间的节点位置进行精准插值。 数据脱敏处理：为尊重出租车司机与乘客的隐私，本数据集未向公众提供包含可识别出租车编号的原始数据。项目重点关注聚合数据与数据模式分析，多数分析基于历史数据与经打乱处理的出租车编号的大规模数据模式展开。 本数据集（标识为Tracesetepfl/mobility/cab）包含美国旧金山出租车的移动轨迹数据，涵盖旧金山湾区30天内采集的约500辆出租车的GPS坐标信息。 数据文件：cabspottingdata.tar.gz 测量用途：用户移动特征刻画、位置感知计算、人类行为建模 实施方法：Yellow Cab本身并不会存储出租车位置数据，仅在实时调度场景中使用该信息。本项目系统对接Yellow Cab服务器，并将数据存储至数据库，同时对出租车呼叫编号进行编码以保护隐私。服务器端程序会以不同时间间隔（10分钟、1小时、8小时等）生成聚合地图，并将各时间切片存储为PostScript与位图图像。随后将这些图像合成为每日、每周等时段的动态影像。网站访客可在延时摄影专区查询相关图像与影像。用户可在Cab Tracker客户端中查看叠加于最新地图之上的实时数据样本。您可按照http://cabspotting.org/api.mobility/cab 页面的说明自行采集出租车移动轨迹数据。 Traces may_2008：美国旧金山出租车移动轨迹数据 数据组织形式：本压缩包包含文件`_cabs.txt`，其中记录了所有出租车的列表；每辆出租车的移动轨迹均存储于独立的ASCII（美国信息交换标准代码）文本文件中，例如`new_abboip.txt`。 数据格式：每条移动轨迹文件的格式如下：每行包含[纬度、经度、载客状态、时间戳]四个字段，示例：[37.75134 -122.39488 0 1213084687]，其中纬度与经度以十进制度数表示，载客状态字段用于标识出租车是否搭载乘客（1代表已载客，0代表空驶），时间戳采用UNIX纪元时间（UNIX epoch）格式。
