Congestions and Spectral Transition in Time-Lagged Correlations of Motorway Traffic

Fuente: arXiv
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Autori principali: Hollbeck, Gabor B., Pilarczyk, René, Wang, Shanshan, Schreckenberg, Michael, Guhr, Thomas
Natura: Preprint
Pubblicazione: 2023
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author Hollbeck, Gabor B.
Pilarczyk, René
Wang, Shanshan
Schreckenberg, Michael
Guhr, Thomas
author_facet Hollbeck, Gabor B.
Pilarczyk, René
Wang, Shanshan
Schreckenberg, Michael
Guhr, Thomas
contents The congestion of a motorway section is propagated to its neighbouring sections, leading to correlations. The resulting correlation matrix encodes the information on congestion. Here, we study symmetrized time-lagged correlations and show how their spectral properties reveal congestion durations. We carry out an empirical analysis and find a transition behavior for the dominant eigenvalue as function of the time lag. Furthermore, we set up a numerical simulation model for indicator time series of traffic phases as well as a simplified model that we treat analytically. We consider various scenarios. Our results reveal a nonlinear relation between the spectral transition and the congestion duration. In our simplified model, we derive this relation analytically.
format Preprint
id arxiv_https___arxiv_org_abs_2312_12051
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Congestions and Spectral Transition in Time-Lagged Correlations of Motorway Traffic
Hollbeck, Gabor B.
Pilarczyk, René
Wang, Shanshan
Schreckenberg, Michael
Guhr, Thomas
Physics and Society
Data Analysis, Statistics and Probability
The congestion of a motorway section is propagated to its neighbouring sections, leading to correlations. The resulting correlation matrix encodes the information on congestion. Here, we study symmetrized time-lagged correlations and show how their spectral properties reveal congestion durations. We carry out an empirical analysis and find a transition behavior for the dominant eigenvalue as function of the time lag. Furthermore, we set up a numerical simulation model for indicator time series of traffic phases as well as a simplified model that we treat analytically. We consider various scenarios. Our results reveal a nonlinear relation between the spectral transition and the congestion duration. In our simplified model, we derive this relation analytically.
title Congestions and Spectral Transition in Time-Lagged Correlations of Motorway Traffic
topic Physics and Society
Data Analysis, Statistics and Probability
url https://arxiv.org/abs/2312.12051