EconPapers    
Economics at your fingertips  
 

Optimizing Traffic in Virtual and Real Space

D. Helbing, B. A. Huberman and S. M. Maurer
Additional contact information
D. Helbing: Xerox PARC
B. A. Huberman: Xerox PARC
S. M. Maurer: Xerox PARC

A chapter in Traffic and Granular Flow ’99, 2000, pp 193-204 from Springer

Abstract: 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.

Date: 2000
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-59751-0_18

Ordering information: This item can be ordered from
http://www.springer.com/9783642597510

DOI: 10.1007/978-3-642-59751-0_18

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-05-20
Handle: RePEc:spr:sprchp:978-3-642-59751-0_18