Stochasticity of Road Traffic Dynamics: Comprehensive Linear and Nonlinear Time Series Analysis on High Resolution Freeway Traffic Records

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dc.creatorSiegel, Helge
dc.creatorBelomestnyi, Dennis
dc.date2006-02-20
dc.date.accessioned2026-07-07T07:04:08Z
dc.date.available2026-07-07T07:04:08Z
dc.descriptionThe dynamical properties of road traffic time series from North-Rhine Westphalian motorways are investigated. The article shows that road traffic dynamics is well described as a persistent stochastic process with two fixed points representing the freeflow (non-congested) and the congested state regime. These traffic states have different statistical properties, with respect to waiting time distribution, velocity distribution and autocorrelation. Logdifferences of velocity records reveal non-normal, obviously leptocurtic distribution. Further, linear and nonlinear phase-plane based analysis methods yield no evidence for any determinism or deterministic chaos to be involved in traffic dynamics on shorter than diurnal time scales. Several Hurst-exponent estimators indicate long-range dependence for the free flow state. Finally, our results are not in accordance to the typical heuristic fingerprints of self-organized criticality. We suggest the more simplistic assumption of a non-critical phase transition between freeflow and congested traffic.
dc.identifierhttps://arxiv.org/abs/physics/0602136
dc.identifierhttp://arxiv.org/abs/physics/0602136
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/109245
dc.subjectData Analysis, Statistics and Probability
dc.titleStochasticity of Road Traffic Dynamics: Comprehensive Linear and Nonlinear Time Series Analysis on High Resolution Freeway Traffic Records
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