CRAWDAD ncsu/mobilitymodels

Citation Author(s):
Injong
Rhee
North Carolina State University
Minsu
Shin
Hanoro Telecom
Seongik
Hong
North Carolina State University
Kyunghan
Lee
Ulsan National Institute of Science and Technology
Seongjoon
Kim
North Carolina State University
Song
Chong
KAIST
Submitted by:
CRAWDAD Team
Last updated:
Tue, 07/21/2009 - 08:00
DOI:
10.15783/C7X302
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Abstract 

Human mobility data collected from five different sites.

We collected human mobilicty traces from five different sites - two university campuses (NCSU and KAIST), New York City, Disney World (Orlando), and North Carolina state fair.

date/time of measurement start: 2006-08-26

date/time of measurement end: 2008-04-18

collection environment: Five sites are chosen for collecting human mobility traces. These are two university campuses (NCSU and KAIST), New York City, Disney World (Orland), and North Carolina state fair. 

network configuration: Garmin GPS 60CSx handheld receivers are used for data collection which are WAAS (Wide Area Augmentation System) capable with a position accuracy of better than three meters 95 percent of the time, in North America.

data collection methodology: The GPS receivers take reading of their current positions at every 10 seconds and record them into a daily track log.  

limitation: Occasionally, track information has discontinuity mainly when bearers move indoor where GPS signals cannot be received.

note: The Campus I traces are taken by 20 students. The participants in Campus I were randomly selected students who took a course in the computer science department. Every week, 2 or 3 randomly chosen students carried the GPS receivers for their daily regular activities. The Campus II traces are taken by 32 students who live in a campus dormitory. The New York City traces were obtained from 12 volunteers living in Manhattan or its vicinity. Most of the participants have offices in Manhattan. Their track logs contain relatively long distance travels because of their long commuting paths. Their means of travel include subway trains, buses and mostly walking. The State fair track logs were collected from 8 volunteers who visited a local state fair that includes many street arcades, small street food stands and showcases. The event was very popular and attended by more than one thousand people daily for two weeks. The site is completely outdoor and is smallest among all the sites. Each participant in the State fair scenario spent less than three hours in the site. The Disney World traces were obtained from nineteen volunteers who spent their thanksgiving or Christmas holidays in Disney World, Florida, USA. For our study, we use only the track logs from the inside of the theme parks. The participants mainly walked in the parks and occasionally rode trolleys.

Tracesets

ncsu/mobilitymodels/GPS

Daily GPS track log collected from five different sites.

  • files: ncsu-mobilitymodels.tar.gzTraces_TimeXY_30sec_txt.tar.gz
  • description: We collected daily GPS track logs from five different sites - two university campuses (NCSU and KAIST), New York City, Disney World (Orlando), and North Carolina state fair.
  • measurement purpose: User Mobility Characterization, Routing Protocol for DTNs (Disruption Tolerant Networks), Positioning Systems, Human Behavior Modeling
  • methodology: The GPS receivers take reading of their current positions at every 10 seconds and record them into a daily track log. All participants in the five scenarios are different individuals. The radius of each trace is a half of the maximum distance that a participant travels during a day.

ncsu/mobilitymodels/GPS Traces

  • NCSU: Daily GPS track log collected from a university campus (NCSU), North Carolina, USA.

    • configuration: The GPS receivers take reading of their current positions at every 10 seconds and record them into a daily track log. The participants in NCSU Campus were randomly selected students who took a course in the computer science department. Every week, 2 or 3 randomly chosen students carried the GPS receivers for their daily regular activities. Each file represents a daily trace from one participants. One participant can make one or more daily trace files. But we cannot tell which files come from the same person.
    • format: Time (seconds) X-coordinate from a reference (meters) Y-coordinate from a reference (meters) 0.0000000000000000e+000 -3.8420858381879395e+002 -4.6667833828169620e+001
  • KAIST: Daily GPS track log collected from a university campus (KAIST), Daejeon, South Korea.
    • configuration: The GPS receivers take reading of their current positions at every 10 seconds and record them into a daily track log. Detailed period information: 2006/09/26 - 2006/11/21, 2007/09/10 - 2007/10/03 The KAIST (http://www.kaist.ac.kr) Campus traces are taken by 4 students who live in a campus dormitory. Each file represents a daily trace from one participants. One participant can make one or more daily trace files. But we cannot tell which files come from the same person.
    • format: Time (seconds) X-coordinate from a reference (meters) Y-coordinate from a reference (meters) 0.0000000000000000e+000 -3.8420858381879395e+002 -4.6667833828169620e+001
  • NYC: Daily GPS track log collected from New York City, New York, USA.
    • configuration: The GPS receivers take reading of their current positions at every 10 seconds and record them into a daily track log. Detailed period information: 2006/10/23 - 2006/11/24, 2007/12/18 - 2008/04/18 The New York City traces were obtained from 8 volunteers living in Manhattan or its vicinity. Most of the participants have offices in Manhattan. Their track logs contain relatively long distance travels because of their long commuting paths. Their means of travel include subway trains, buses and mostly walking. Each file represents a daily trace from one participants. One participant can make one or more daily trace files. But we cannot tell which files come from the same person.
    • format: Time (seconds) X-coordinate from a reference (meters) Y-coordinate from a reference (meters) 0.0000000000000000e+000 -3.8420858381879395e+002 -4.6667833828169620e+001
  • Disney World: Daily GPS track log collected from Disney World, Florida, USA.
    • configuration: The GPS receivers take reading of their current positions at every 10 seconds and record them into a daily track log. Detailed period information: 2006/11/19 - 2006/12/27, 2007/12/16 - 2008/01/09 The Disney World traces were obtained from four volunteers who spent their thanksgiving or Christmas holidays in Disney World, Florida, USA. For our study, we use only the track logs from the inside of the theme parks. The participants mainly walked in the parks and occasionally rode trolleys. Each file represents a daily trace from one participants. One participant can make one or more daily trace files. But we cannot tell which files come from the same person.
    • format: Time (seconds) X-coordinate from a reference (meters) Y-coordinate from a reference (meters) 0.0000000000000000e+000 -3.8420858381879395e+002 -4.6667833828169620e+001
  • NC_State_Fair: Daily GPS track log collected from the NC State Fair held in North Carolina, USA.
    • configuration: The GPS receivers take reading of their current positions at every 10 seconds and record them into a daily track log. Detailed period information: 2006/10/24, 2007/10/17 - 2007/10/21 The NC State fair track logs were collected from 8 volunteers who visited a local state fair that includes many street arcades, small street food stands and showcases. The event was very popular and attended by more than one thousand people daily for two weeks. The site is completely outdoor and is smallest among all the sites. Each participant in the State fair scenario spent less than three hours in the site. Each file represents a daily trace from one participants. One participant can make one or more daily trace files. But we cannot tell which files come from the same person.
    • format: Time (seconds) X-coordinate from a reference (meters) Y-coordinate from a reference (meters) 0.0000000000000000e+000 -3.8420858381879395e+002 -4.6667833828169620e+001
Instructions: 

The files in this directory are a CRAWDAD dataset hosted by IEEE DataPort. 

About CRAWDAD: the Community Resource for Archiving Wireless Data At Dartmouth is a data resource for the research community interested in wireless networks and mobile computing. 

CRAWDAD was founded at Dartmouth College in 2004, led by Tristan Henderson, David Kotz, and Chris McDonald. CRAWDAD datasets are hosted by IEEE DataPort as of November 2022. 

Note: Please use the Data in an ethical and responsible way with the aim of doing no harm to any person or entity for the benefit of society at large. Please respect the privacy of any human subjects whose wireless-network activity is captured by the Data and comply with all applicable laws, including without limitation such applicable laws pertaining to the protection of personal information, security of data, and data breaches. Please do not apply, adapt or develop algorithms for the extraction of the true identity of users and other information of a personal nature, which might constitute personally identifiable information or protected health information under any such applicable laws. Do not publish or otherwise disclose to any other person or entity any information that constitutes personally identifiable information or protected health information under any such applicable laws derived from the Data through manual or automated techniques. 

Please acknowledge the source of the Data in any publications or presentations reporting use of this Data. 

Citation:

Injong Rhee, Minsu Shin, Seongik Hong, Kyunghan Lee, Seongjoon Kim, Song Chong, ncsu/mobilitymodels, https://doi.org/10.15783/C7X302 , Date: 20090723

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These datasets are part of Community Resource for Archiving Wireless Data (CRAWDAD). CRAWDAD began in 2004 at Dartmouth College as a place to share wireless network data with the research community. Its purpose was to enable access to data from real networks and real mobile users at a time when collecting such data was challenging and expensive. The archive has continued to grow since its inception, and starting in summer 2022 is being housed on IEEE DataPort.

Questions about CRAWDAD? See our CRAWDAD FAQ. Interested in submitting your dataset to the CRAWDAD collection? Get started, by submitting an Open Access Dataset.