Network Traffic as a Self-Organized Critical Phenomena

Nagel, Kai; Rasmussen, S.; Barrett, Christopher L.; Los Alamos National Laboratory

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Network Traffic as a Self-Organized Critical Phenomena

1995-09-01
By Nagel, Kai ; Rasmussen, S. ; Barrett, Christopher L.

[PDF-826.63 KB]

English

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Creators:

Nagel, Kai ; Rasmussen, S. ; Barrett, Christopher L.

Nagel, Kai ; Rasmussen, S. ; Barrett, Christopher L. Less -
Corporate Creators:

Los Alamos National Laboratory
Corporate Contributors:

United States. Federal Highway Administration ; United States. Department of Transportation. Bureau of Transportation Statistics ; United States. Federal Transit Administration ; United States. Environmental Protection Agency ; Travel Model Improvement Program (U.S.)

United States. Federal Highway Administration ; United States. Department of Transportation. Bureau of Transportation Statistics ; United States. Federal Transit Administration ; United States. Environmental Protection Agency ; Travel Model Improvement Program (U.S.) Less -
Subject/TRT Terms:

[+]

Air Quality Intermodal Transportation Microsimulation Networks Traffic Forecasting Traffic Models Transportation Planning Travel Demand
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

United States. Department of Transportation. Federal Highway Administration
Abstract:

This paper presents an overview of an approach to address complexity issues and real-life engineering problems in large, urban transportation systems. In this context we discuss the fundamental problem of designing a metropolitan transportation system which is both efficient and controllable.
Format:

PDF
Collection(s):

Federal Highway Administration
Main Document Checksum:

[+]

urn:sha256:429d2f3d62a4415bc69c050a1b409182013ed93b873a6a60c5947171ef52b5e7
Download URL:

https://rosap.ntl.bts.gov/view/dot/57244/dot_57244_DS1.pdf
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Network Traffic as a Self-Organized Critical Phenomena

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