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Congestion Visualization Based on Probe Vehicle Data

  • Masria Mustafa
  • Meng Zhang
  • Liqiu Meng
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

The purposes of this study was to develop an analytical congestion visualization system using GIS with the help of probe vehicles as the source of data. Vissim 5.0 was used to generate travel time data on a hypothetical network. Average travel time on links were analyzed for various percentages of probe vehicles and compared to the ‘true’ average travel time using ‘ bootstrapping’ technique. We employed ArcGIS designed for use by transportation professionals to display the results of travel time provided by probe in a more understandable visual fashion.

Keywords

probe vehicle Vissim 5.0 bootstrapping ArcGIS 

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References

  1. Bertini RL, El-Geneidy AM (2004) Toward validation of freeway loop detector speed measurements using transit probe data, IEEE 7th International Conference on Intelligent Transportation Systems, pp.779-784Google Scholar
  2. Byon YJ, Shalaby A, Abdulhai B (2006) GISTT: GPS-GIS Integrated System for Travel Time Surveys, TRB annual meeting CD-ROM.Google Scholar
  3. Claramunt C, Jiang B, Bargiela A (2000) A new framework for the integration, analysis and visualisation of urban traffi c data within GIS, Transportation Research Part C: Emerging Technologies.Google Scholar
  4. Cohen S, Bosseboeuf JL, Schwab N (2002) Probe vehicle sample sizes for travel time estimation on equipped motorways, 11th International Conference on Road Transport Information and Control, pp. 172- 176Google Scholar
  5. Ferman MA, Blumenfeld DE, Dai X (2003) A simple analytical model of a probe-based traffi c information system, Intelligent Transportation Systems, IEEE, Vol. 1, pp.263-268Google Scholar
  6. Kolbi R, McDonald M, Fisher G, Brackstone M (2002) Probe vehicle: a comparison of motorway performance measure with other motorway fl ow detection analysis, 11th International Conference on Road Transport Information and Control, pp. 182- 186Google Scholar
  7. Li Y, McDonald M (2002) Link travel time estimation using single GPS equipped probe vehicle, IEEE 5th International Conference on Intelligent Transportation Systems, pp. 932- 937Google Scholar
  8. Linnartz JPMG, Westerman M (1994) Monitoring a metropolitan freeway system using probe vehicles and random access radio channel, IEEE 44th Vehicular Technology Conference, Vol.1, pp. 410-414Google Scholar
  9. Narupiti S, Mustafa M (2007) Quality of Travel Time Estimation from Probe Vehicles: A Simulation Study, Journal of the Eastern Asia Society for Transportation Studies, Vol. 7, pp.2517-2532Google Scholar
  10. Rao KML, Sunitha K, Jayasree K (2005) Dynamic geographic information system for intelligent traffi c guidance systems, Geoscience and Remote Sensing Symposium. IEEE International, Vol.2, pp. 866-869Google Scholar
  11. Taylor MAP, Woolley JE, Zito R (2004) Integration of the global positioning system and geographical information systems for traffi c congestion studies, Transportation Research Part C, pp. 257-285Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Masria Mustafa
    • 1
  • Meng Zhang
    • 1
  • Liqiu Meng
    • 1
  1. 1.Department of CartographyTechnical University of MunichGermany

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