last modified

2009-02-19

reason for most recent change

the initial version

release date

2009-02-24

date/time of measurement start

2008-05-17

date/time of measurement end

2008-06-10

license

If you intend to publish your results based on this data set, we appreciate if you cite the following publication in which we extensively use this data set: @InProceedings{comsnets09piorkowski, title = "{A Parsimonious Model of Mobile Partitioned Networks with Clustering}", author = "Michal Piorkowski and Natasa Sarafijanovoc-Djukic and Matthias Grossglauser", booktitle = "The First International Conference on COMmunication Systems and NETworkS (COMSNETS)", location = "Bangalore, India", year = "2009", month = "January", url = "http://www.comsnets.org", details = "http://infoscience.epfl.ch/record/130383" }

website

cabspotting.org

network type

Vehicular network

network type

GPS (Global Positioning System)

collection 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.html

data 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.

• Michal Piorkowski
  
• Natasa Sarafijanovic-Djukic
  lcawww.epfl.ch/nsarafij/
  
• Matthias Grossglauser
  matthias.grossglauser@epfl.ch
  EPFL(Swiss Federal Institute of Technology - Lausanne)
  Laboratory for Computer Communications and Applications (LCA)
  Assistant Professor
  +41 21 693 8116
  +41 21 693 6610
  icapeople.epfl.ch/grossglauser/
  

The following papers are written by the providers of this dataset who may be able to provide more information:

• A parsimonious model of mobile partitioned networks with clustering
  Michal Piorkowski; Natasa Sarafijanovic-Djukic; Matthias Grossglauser;
  Communication Systems and Networks and Workshops, 2009. COMSNETS 2009. First International In Communication Systems and Networks and Workshops, 2009. COMSNETS 2009. First International (January 2009), pp. 1-10, doi:10.1109/comsnets.2009.4808865.

328 papers using this dataset can be found in our CiteULike library.

When writing a paper that uses CRAWDAD datasets, we would appreciate it if you could cite both the authors of the dataset and CRAWDAD itself, and identify the exact dataset using the appropriate version number. For this dataset, this citation would look like:

Michal Piorkowski, Natasa Sarafijanovic‑Djukic, Matthias Grossglauser, CRAWDAD dataset epfl/mobility (v. 2009‑02‑24), downloaded from https://crawdad.org/epfl/mobility/20090224, https://doi.org/10.15783/C7J010, Feb 2009.

• Cite using BibTeX
• Cite using RIS

@misc{epfl-mobility-20090224,
    author = {Michal Piorkowski and Natasa Sarafijanovic-Djukic and Matthias Grossglauser},
    title = {{CRAWDAD} dataset epfl/mobility (v. 2009-02-24)},
    howpublished = {Downloaded from \url{https://crawdad.org/epfl/mobility/20090224}},
    doi = {10.15783/C7J010},
    month = feb,
    year = 2009
}

TY  - DATA
TI  - CRAWDAD dataset epfl/mobility (v. 2009-02-24)
UR  - https://crawdad.org/epfl/mobility/20090224
PY  - 2009/02/24/
AU  - Michal Piorkowski
AU  - Natasa Sarafijanovic-Djukic
AU  - Matthias Grossglauser
DO  - 10.15783/C7J010
ER  -

If you do not use the provided citation formats, please include a reference with the same information, as described in the CRAWDAD FAQ.

When your paper has been published, please add it to our CiteULike group using the tags uses_crawdad_data and epfl_mobility. Thanks!