A framework for realistic vehicular network modeling using planet-scale public webcams

Gautam S. Thakur, Pan Hui, Ahmed Helmy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Realistic design and evaluation of vehicular mobility has been particularly challenging due to a lack of large-scale real-world measurements in the research community. Current mobility models and simulators rely on artificial scenarios and use small and biased samples. To overcome these challenges, we introduce a novel framework for large-scale monitoring, analysis, modeling, and visualization of vehicular traffic using freely available online webcams. We follow a data-driven approach that examine six metropolitan regions' more than 800 locations and 25 million vehicular mobility records around the world. Initial analysis of traffic densities show 80% temporal correlation during various hours of a day. The modeling of empirical traffic densities against known theoretical models show less than 5% deviation for heavy-tailed distributions such as Weibull. We believe this framework and the dataset provide a much-needed contribution to the research community for realistic and data-driven design and evaluation of vehicular networks.

Original languageEnglish
Title of host publicationHotPlanet'12 - Proceedings of the 4th ACM International Workshop on Hot Topics in Planet-Scale Measurement
Pages3-8
Number of pages6
DOIs
StatePublished - 2012
Externally publishedYes
Event4th ACM International Workshop on Hot Topics in Planet-Scale Measurement, HotPlanet'12 - Low Wood Bay, Lake District, United Kingdom
Duration: Jun 25 2012Jun 25 2012

Publication series

NameHotPlanet'12 - Proceedings of the 4th ACM International Workshop on Hot Topics in Planet-Scale Measurement

Conference

Conference4th ACM International Workshop on Hot Topics in Planet-Scale Measurement, HotPlanet'12
Country/TerritoryUnited Kingdom
CityLow Wood Bay, Lake District
Period06/25/1206/25/12

Keywords

  • social networks
  • urban infrastructure
  • vehicular traffic

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