ncsu/mobilitymodels2009072362200907232009-07-21ncsu/mobilitymodelsHuman 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.

the initial version2009-07-232006-08-262008-04-18rhee-levy-walklee-slawREADME225226227228229230http://netsrv.csc.ncsu.edu/twiki/bin/view/Main/MobilityModelshttp://www.crawdad.org/wiki/pmwiki.php?n=Main.Dataset.ncsu-mobilitymodelsDTNGPSlocationUser Mobility CharacterizationRouting Protocol for DTNs (Disruption Tolerent Networks)Positioning SystemsHuman Behavior ModelingGPS (Global Positioning System)DTN (Delay or Disruption Tolerant Network)Five sites are chosen for collecting human mobility traces. These are two university campuses (NCSU and KAIST), New York City, Disney World (Orlando), and North Carolina state fair.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.The GPS receivers take reading of their current positions at every 10 seconds and record them into a daily track log.Occasionally, track information has discontinuity mainly when bearers move indoor where GPS signals cannot be received.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.92200907232009-07-21the initial version.ncsu/mobilitymodels/GPSDaily GPS track log collected from five different sites.

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.

2009-07-232006-08-262008-04-18User Mobility CharacterizationRouting Protocol for DTNs (Disruption Tolerent Networks)Positioning SystemsHuman Behavior ModelingThe 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.Occasionally, track information has discontinuity mainly when bearers move indoor where GPS signals cannot be received./download/ncsu/mobilitymodels/Readme.txt/download/ncsu/mobilitymodels/Traces_TimeXY_30sec_txt.tar.gzncsu/mobilitymodels296200907232009-07-21the initial versionncsu/mobilitymodels/GPS/NCSUDaily GPS track log collected from a university campus (NCSU), North Carolina, USA.

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

false2009-07-232006-08-262006-11-16The 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.Time (seconds) X-coordinate from a reference (meters) Y-coordinate from a reference (meters) 0.0000000000000000e+000 -3.8420858381879395e+002 -4.6667833828169620e+001Occasionally, track information has discontinuity mainly when bearers move indoor where GPS signals cannot be received.ncsu/mobilitymodels/GPS297200907232009-07-21the initial versionncsu/mobilitymodels/GPS/KAISTDaily GPS track log collected from a university campus (KAIST), Daejeon, South Korea.

Daily GPS track log collected from a university campus (KAIST), Daejeon, South Korea.

false2009-07-232006-09-262007-10-03The 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.Time (seconds) X-coordinate from a reference (meters) Y-coordinate from a reference (meters) 0.0000000000000000e+000 -3.8420858381879395e+002 -4.6667833828169620e+001Occasionally, track information has discontinuity mainly when bearers move indoor where GPS signals cannot be received.ncsu/mobilitymodels/GPS298200907232009-07-21the initial versionncsu/mobilitymodels/GPS/NYCDaily GPS track log collected from New York City, New York, USA.

Daily GPS track log collected from New York City, New York, USA.

false2009-07-232006-10-232008-04-18The 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.Time (seconds) X-coordinate from a reference (meters) Y-coordinate from a reference (meters) 0.0000000000000000e+000 -3.8420858381879395e+002 -4.6667833828169620e+001Occasionally, track information has discontinuity mainly when bearers move indoor where GPS signals cannot be received.ncsu/mobilitymodels/GPS299200907232009-07-21the initial versionncsu/mobilitymodels/GPS/Disney_WorldDaily GPS track log collected from Disney World, Florida, USA.

Daily GPS track log collected from Disney World, Florida, USA.

false2009-07-232006-11-192008-01-09The 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.Time (seconds) X-coordinate from a reference (meters) Y-coordinate from a reference (meters) 0.0000000000000000e+000 -3.8420858381879395e+002 -4.6667833828169620e+001Occasionally, track information has discontinuity mainly when bearers move indoor where GPS signals cannot be received.ncsu/mobilitymodels/GPS300200907232009-07-21the initial versionncsu/mobilitymodels/GPS/NC_State_FairDaily GPS track log collected from the NC State Fair held in North Carolina, USA.

Daily GPS track log collected from NC State Fair held in North Carolina, USA.

false2009-07-232006-10-242007-10-21The 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.Time (seconds) X-coordinate from a reference (meters) Y-coordinate from a reference (meters) 0.0000000000000000e+000 -3.8420858381879395e+002 -4.6667833828169620e+001Occasionally, track information has discontinuity mainly when bearers move indoor where GPS signals cannot be received.ncsu/mobilitymodels/GPS225ncsu/mobilitymodelsInjong Rheerhee@ncsu.eduNorth Carolina State UniversityComputer ScienceAssociate Professor

Department of computer Science North Carolina State University, NC 27606.

http://www4.ncsu.edu/~rhee/226ncsu/mobilitymodelsMinsu ShinHanoro Telecom227ncsu/mobilitymodelsSeongik Hongshong@ncsu.eduNorth Carolina State UniversityComputer SciencePh.D Student

2240 EBII Centennial Campus, North Carolina State University, Raleigh, NC 27695

http://www4.ncsu.edu/~shong/228ncsu/mobilitymodelsKyunghan Leekhlee@unist.ac.krUNIST (Ulsan National Institute of Science and Technology)School of ECE

Rm 301-5, EB 106, UNIST-gil 50, Ulsan, Korea

http://sites.google.com/site/khanleepage/229ncsu/mobilitymodelsSeongjoon KimNorth Carolina State UniversityComputer SciencePostdoc

Department of computer Science North Carolina State University, NC 27606.

230ncsu/mobilitymodelsSong Chongsong@ee.kaist.ac.krKAISTElectrical EngineeringProfessor

School of EECS, KAIST, 373-1 Guseong-Dong, Yuseong-Gu, Daejeon 305-701, Korea

http://netsys.kaist.ac.kr/~song/lee-slawKyunghan LeeSeongik HongSeong Joon KimInjong RheeSong Chongmeasurementwirelessncsu_mobilitymodelscrawdadProceedings of the 28th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM)--04--2009

Rio de Janeiro, Brazil

IEEEhttp://netsrv.csc.ncsu.edu/export/slaw_infocom_2009.pdfwireless-meas,crawdadncsu/mobilitymodels20090401rhee-levy-walkInjong RheeMinsu ShinSeongik HongKyunghan LeeSong Chongmeasurementwirelessncsu_mobilitymodelscrawdadProceedings of the 27th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM)--04--2008

Arizona, USA

IEEEhttp://netsrv.csc.ncsu.edu/export/infocom2008_mobility_final.pdfwireless-meas,crawdadncsu/mobilitymodels20080401