Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

A Cross-Correlation Based Method for Spatial-Temporal Traffic Analysis

Published

Author(s)

Kevin L. Mills, J Yuan

Abstract

Analyzing spatial-temporal characteristics of traffic in large-scale networks requires both suitable analysis method and a means to reduce the amount of data that must be collected. Of particular interest would be techniques that reduce the amount of data needed, while simultaneously retaining the ability to monitor spatial-temporal behavior network-wide. In this paper, we propose such a method, motivated by insights about network dynamics at the macroscopic level. We define a weighted vector to build up information about the influence of local behavior over the whole network. By taking advantage of increased correlations arising in large networks, this method might require only a few observation points to capture shifting network-wide patterns over time. This paper explains the principles underlying our proposed method, and describes the associated analytical process.
Citation
Performance Evaluation

Citation

Mills, K. and Yuan, J. (2004), A Cross-Correlation Based Method for Spatial-Temporal Traffic Analysis, Performance Evaluation (Accessed December 13, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created March 10, 2004, Updated March 2, 2018