Optimizing Traffic in Virtual and Real Space
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.
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- 1.R.M. Lukose and B.A. Huberman, A methodology for managing risk in electronic transactions over the internet, in press, Netnomics, (2000).Google Scholar
- 3.R. Hardin, Collective Action, (Johns Hopkins University Press, 1982).Google Scholar
- 7.K. Nagel and S. Rasmussen, Traffic at the edge of chaos, In: Artificial Life IV, R.A. Brooks and P. Maes, (Eds.), (MIT Press, Cambridge, MA, 1994).Google Scholar
- 8.D. Helbing, New simulation models for traffic optimization, In: Proc. of the Workshop “Verkehrsplanung und -simulation” V. Claus, D. Helbing, and H.J. Herrmann, (Eds.), (Informatik Verbund Stuttgart, University of Stuttgart, 1999).Google Scholar
- 9.P.H.L. Bovy, (Ed.), Motorway Traffic Flow Analysis, (Delft University Press, Delft, 1998).Google Scholar
- 10.M. Bando, K. Hasebe, K. Nakanishi, A. Nakayama, A. Shibata, and Y. Sugiyama, Phenomenological study of dynamical model of traffic flow, J. Phys. I Prance 5, 1389 (1995).Google Scholar