Experiments and Experiences on the Relationship Between the Probe Vehicle Size and the Travel Time Collection Reliability

  • Chungwon Lee
  • Seungjae Lee
  • Taehee Kim
  • Jeong Hyun Kim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4253)


It is obvious that more probe vehicles guarantee better reliability of travel time data collection. Because of cost involved, increasing the probe vehicles is not always possible. Thus, the mechanism of the relation between the probe vehicle size and the travel time data collection reliability needs to be investigated for optimizing the ATIS implementation. On the relationship between the probe vehicle size and the travel time collection reliability, this study contains two different kinds of data in two test networks. One came from simulation based experiments and the other came from field experiences of a real time travel time collection system. There are a bit comprehensive differences between the results of experiments and experiences. The similar trend has been observed in both networks. In spite of many possible sources of the differences, it can be learned that in selecting probe vehicles, the operational characteristics of vehicles are very important to construct reliable information systems to guarantee to meet network coverage requirements. Furthermore, the effectiveness of probe size increases marginally decreases.


Travel Time Route Choice Test Network Stochastic User Equilibrium Route Choice Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Aerde, M.V.: Modeling of Traffic flows, Assignment and Queuing in Integrated Freeway/Traffic Signal Networks, PhD dissertation, University of Waterloo (1985)Google Scholar
  2. 2.
    Boyce, D., Hicks, J., Sen, A.: In-vehicle Navigation System Requirements for Monitoring Link Travel Time in a Dynamic Route Guidance System. In: The 70th annual meeting of the Transportation Research Board, Washington, DC (1991)Google Scholar
  3. 3.
    Chen, M., Chien, S.: Determining the Number of Probe Vehicles for Freeway Travel Time Estimation Using Microscopic Simulation. In: The 79th Annual Meeting of the Transportation Research Board, Washington, D.C (2000)Google Scholar
  4. 4.
    Gorys, J., Keen, S.: Measuring Congestion Through the use of Probe Vehicles in Toronto. In: The 78th Annual Meeting of the Transportation Research Board, Washington, D.C (1999)Google Scholar
  5. 5.
    Hellinga, B., Fu, L.: Assessing Expected Accuracy of Probe Vehicle Travel Time Reports. Journal of Transportation engineering, 524–530 (1999)Google Scholar
  6. 6.
    May, A.D.: Traffic Flow Fundamentals, Englwood Cliffs (1984)Google Scholar
  7. 7.
    Lee, C., Park, J.: Determining the Optimal Number of Probe Vehicles for ATIS Applications in Urban Networks. In: Proceedings of the 9th World Conference on Transport Research, Seoul (2001)Google Scholar
  8. 8.
    Sen, A., Thakuriah, P., Zhu, X., Karr, A.: Frequency of Probe Reports and Variance of Travel time Estimates. Journal of Transportation Engineering, 290–297 (1997)Google Scholar
  9. 9.
    Srinivasan, K., Jovanis, P.: Determination of Number of Probe Vehicles Required for Reliable Travel Time Measurement in Urban Network. Transportation Research Record 1537, TRB, National Research Council, Washington D.C., pp. 15–22 (1996)Google Scholar
  10. 10.
    Turner, S., Holdener, D.: Probe Vehicles Sample Sizes for Real-time Information: The Houston experience. In: Proceedings of the Vehicle Navigation & Information Systems conference (1995)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Chungwon Lee
    • 1
  • Seungjae Lee
    • 1
  • Taehee Kim
    • 2
  • Jeong Hyun Kim
    • 3
  1. 1.Dept. of Transportation EngineeringThe University of SeoulKorea
  2. 2.POSCO E&CSeoulKorea
  3. 3.Land & Urban InstituteAssociate Research FellowKorea

Personalised recommendations