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2000 | OriginalPaper | Buchkapitel

Optimizing Traffic in Virtual and Real Space

verfasst von : D. Helbing, B. A. Huberman, S. M. Maurer

Erschienen in: Traffic and Granular Flow ’99

Verlag: Springer Berlin Heidelberg

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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.

Metadaten
Titel
Optimizing Traffic in Virtual and Real Space
verfasst von
D. Helbing
B. A. Huberman
S. M. Maurer
Copyright-Jahr
2000
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-59751-0_18