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Optimizing Traffic in Virtual and Real Space

In: Traffic and Granular Flow ’99

Author

Listed:
  • D. Helbing

    (Xerox PARC
    University of Stuttgart, II. Institute of Theoretical Physics
    Collegium Budapest - Institute for Advanced Study)

  • B. A. Huberman

    (Xerox PARC)

  • S. M. Maurer

    (Xerox PARC)

Abstract

We show how optimization methods from economics known as portfolio strategies can be used for minimizing down-load times in the Internet and travel times in freeway traffic. While for Internet traffic, there is an optimal restart frequency for requesting data, freeway traffic can be optimized by a small percentage of vehicles coming from on-ramps. Interestingly, the portfolio strategies can decrease the average waiting or travel times, respectively, as well as their standard deviation (“risk”). In general, portfolio strategies are applicable to systems, in which the distribution of the quantity to be optimized is broad.

Suggested Citation

  • D. Helbing & B. A. Huberman & S. M. Maurer, 2000. "Optimizing Traffic in Virtual and Real Space," Springer Books, in: Dirk Helbing & Hans J. Herrmann & Michael Schreckenberg & Dietrich E. Wolf (ed.), Traffic and Granular Flow ’99, pages 193-204, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-59751-0_18
    DOI: 10.1007/978-3-642-59751-0_18
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