Possible Self-Organised Criticality and Dynamical Clustering of Traffic flow in Open Systems

dc.creatorLarraga, M. E.
dc.creatordel Rio, J. A.
dc.creatorMehta, Anita
dc.date1999-10-29
dc.date.accessioned2026-07-07T05:57:26Z
dc.date.available2026-07-07T05:57:26Z
dc.descriptionWe focus in this work on the study of traffic in open systems using a modified version of an existing cellular automaton model. We demonstrate that the open system is rather different from the closed system in its 'choice' of a unique steady-state density and velocity distribution, independently of the initial conditions, reminiscent of self-organised criticality. Quantities of interest such as average densities and velocities of cars, exhibit phase transitions between free flow and the jammed state, as a function of the braking probability R in a way that is very different from closed systems. Velocity correlation functions show that the concept of a dynamical cluster, introduced earlier in the context of granular flow is also relevant for traffic flow models.
dc.description5 pages, 8 figures
dc.identifierhttps://arxiv.org/abs/physics/9910049
dc.identifierhttp://arxiv.org/abs/physics/9910049
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/87981
dc.subjectClassical Physics
dc.titlePossible Self-Organised Criticality and Dynamical Clustering of Traffic flow in Open Systems
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