Using Probe Vehicle Data for Traffic State Estimation in Signalized Urban Networks

  • Henk J. van ZuylenEmail author
  • Fangfang Zheng
  • Yusen Chen
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 144)


Probe Vehicle Data (PVD) is becoming more and more common for the collection of information about the traffic state. In most cases, the information that can be obtained from a probe vehicle refers to the position, the speed and the direction of movement at certain time intervals. Especially in urban networks, the raw GPS data needs a cleaning process to map the measured position to the road network. The cleaned information about positions in the network at fixed moments where GPS signals are collected can be used to derive travel time along certain routes.



This research is made possible by subsidies from the Chinese National Science Council and the Transport Research Centre Delft.


  1. Chen YS, Van Zuylen HJ et al (2007) Chengdu feasibility study for traffic information and route guidance, project reportGoogle Scholar
  2. Hellinga B, Izadpanah P, Takada H, Fu L (2008) Decomposing travel times measured by probe based traffic monitoring systems to individual road segments. Transport Res Part C 16:768–782CrossRefGoogle Scholar
  3. Klir G, Folger T (1988) Fuzzy sets, uncertainty and information. Prentice Hall, Englewood Cliffs, NJGoogle Scholar
  4. Klir GJ, St. Clair UH, Yuah B (1997) Fuzzy set theory: foundation and applications. Prentice Hall, Upper Saddle River, NJGoogle Scholar
  5. Yager RR, Filev DP (1994) Essentials of fuzzy modelling and control. Wiley, New YorkGoogle Scholar
  6. Zadeh LA (1978) Fuzzy sets as a theory of possibility. Fuzzy Set Syst 1:3–28CrossRefGoogle Scholar
  7. Zimmermann HJ (1996) Fuzzy set theory and its applications, 3rd edn. Kluwer Academic, Norwell, MAGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Henk J. van Zuylen
    • 1
    Email author
  • Fangfang Zheng
  • Yusen Chen
  1. 1.Delft University of TechnologyDelftThe Netherlands

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