# trajectory_data_set_collections

**Repository Path**: taos123/trajectory_data_set_collections

## Basic Information

- **Project Name**: trajectory_data_set_collections
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2018-09-06
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# trajectory_data_set_collections

#### 互联网公开轨迹数据集整理

1、微软亚研 taxi
- 引用网址：https://www.microsoft.com/en-us/research/publication/t-drive-trajectory-data-sample/
- 说明：This is a sample of T-Drive trajectory dataset that contains a one-week trajectories of 10,357 taxis. The total number of points in this dataset is about 15 million and the total distance of the trajectories reaches 9 million kilometers.


2、微软亚研 human
- 引用网址：https://www.microsoft.com/en-us/download/details.aspx?id=52367
- 说明：This GPS trajectory dataset was collected in (Microsoft Research Asia) Geolife project by 182 users in a period of over three years (from April 2007 to August 2012). A GPS trajectory of this dataset is represented by a sequence of time-stamped points, each of which contains the information of latitude, longitude and altitude. This dataset contains 17,621 trajectories with a total distance of about 1.2 million kilometers and a total duration of 48,000+ hours. These trajectories were recorded by different GPS loggers and GPS-phones, and have a variety of sampling rates. 91 percent of the trajectories are logged in a dense representation, e.g. every 1~5 seconds or every 5~10 meters per point. This dataset recoded a broad range of users’ outdoor movements, including not only life routines like go home and go to work but also some entertainments and sports activities, such as shopping, sightseeing, dining, hiking, and cycling. This trajectory dataset can be used in many research fields, such as mobility pattern mining, user activity recognition, location-based social networks, location privacy, and location recommendation. 
- 详细说明见：User Guide-1.3.pdf


3、UCI Machine Learning Repository
- 引用网址： https://archive.ics.uci.edu/ml/datasets/GPS+Trajectories#
- 说明：The dataset is composed by two tables. The first table go_track_tracks presents general attributes and each instance has one trajectory that is represented by the table go_track_trackspoints.


4、UIC Real Trajectory Data
- 引用网址：https://www.cs.uic.edu/~boxu/mp2p/gps_data.html
- 说明：The trajectory data provided below is obtained from the GPS reading systems carried by two of our lab members during their daily commute for 6 months. Each trajectory represents a continuous trip of a member in the Cook county and/or the Dupage county of Illinois. The trajectory was sampled every second.  Each sample record in a trajectory file follows the following format: 

Latitude | Longitude | Time | x_projection | y_projection


5、Smart City Open Dataset Collection
- 引用网址：https://www.cs.rutgers.edu/~dz220/CS671/data.html
- 说明：多个数据集，每个数据集中包含一种交通方式


6、Kaggle
- 引用网址：https://www.kaggle.com/
- 说明：DM竞赛平台，包含众多数据集，可按关键字搜索


7、CRAWDAD
- 引用网址：https://crawdad.org/index.html
- 说明：

8、San Francisco Ford GoBike Share
- 引用网址：https://console.cloud.google.com/marketplace/details/san-francisco-public-data/sf-bike-share?filter=solution-type:dataset&filter=category:transportation&id=3ff66be9-b024-4500-b61a-385851b5be96
- 说明：San Francisco Ford GoBike , managed by Motivate, provides the Bay Area’s bike share system. Bike share is a convenient, healthy, affordable, and fun form of transportation. It involves a fleet of specially designed bikes that are locked into a network of docking stations. Bikes can be unlocked from one station and returned to any other station in the system. People use bike share to commute to work or school, run errands, get to appointments, and more. The dataset contains trip data from 2013-2018, including start time, end time, start station, end station, and latitude/longitude for each station. See detailed metadata for historical and real-time data. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .