Stochastic Resonance Towards Traffic Models

T. Ohira
Additional contact information
T. Ohira: Sony Computer Science Laboratories

A chapter in Traffic and Granular Flow’01, 2003, pp 187-198 from Springer

Abstract: Abstract In this paper, we first give an overview of stochastic resonance, which has gained more research attentions recently. In this phenomena, noise, which is normally considered an obstacle to information processing, is treated to have an constructive effect causing a resonance with external signals. A particular model which causes “resonance” with noise and delay is focused. We see how regular dynamical patterns appear in this context. We then discuss possible directions where such stochastic resonance could be useful. We proceed by considering simple concrete models for computer network traffic and pedestrian traffic.

Keywords: Spike Train; Stochastic Resonance; Traffic Model; Phase Transition Point; Phase Transition Behavior (search for similar items in EconPapers)
Date: 2003
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:978-3-662-10583-2_17

Ordering information: This item can be ordered from
http://www.springer.com/9783662105832

DOI: 10.1007/978-3-662-10583-2_17

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 ().