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dc.contributor.authorKrbálek M.
dc.contributor.authorŠeba F.
dc.contributor.authorKrbálková M.
dc.date.accessioned2022-03-13T11:49:00Z
dc.date.available2022-03-13T11:49:00Z
dc.date.issued2022
dc.identifierV3S-356516
dc.identifier.citationKRBÁLEK, M., F. ŠEBA, and M. KRBÁLKOVÁ. Super-random states in vehicular traffic — Detection & explanation. Physica A: Statistical Mechanics and Its Applications. 2022, 585 1-14. ISSN 0378-4371. DOI 10.1016/j.physa.2021.126418.
dc.identifier.issn0378-4371 (print)
dc.identifier.issn1873-2119 (online)
dc.identifier.urihttp://hdl.handle.net/10467/100154
dc.description.abstractThis article deals with specific states of traffic flow on a two-lane freeway, in which statistical fluctuations of microscopic quantities (inter-vehicle gaps) are significantly higher than in systems with absolutely random events (Poisson systems). These anomalous states (super-random) are detected in empirical traffic data, specifically in the fast lane at traffic densities up to 25 vehicles per kilometer. The origin of these states is then explained mathematically (using the theory of balance particle systems and tools of random matrix theory), physically (by means of an one-dimensional particle gas subjected to local perturbations caused by overtaking cars) and empirically (using an analogy with phenomena observed in photon counting experiments). In the article we show that overtaking maneuvers, when vehicles from a slow lane are injected into a fast-lane stream of faster moving vehicles, disrupt a local balance in microstructure of fast-lane stream and cause atypical arrangement of vehicular positions, that is very rare, generally. With help of original numerical model we demonstrate that the anomalous states detected are identical to equilibrium states formed in a stochastic particle gas with a potential containing, in addition to a repulsive component, also an attractive component.eng
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofPhysica A: Statistical Mechanics and Its Applications
dc.subjectVehicular trafficeng
dc.subjectSuper-Poissonian stateseng
dc.subjectVehicular headway modelingeng
dc.subjectStatistical rigidityeng
dc.subjectVehicular bunchingeng
dc.subjectRandom matrix theoryeng
dc.titleSuper-random states in vehicular traffic — Detection & explanationeng
dc.typečlánek v časopisecze
dc.typejournal articleeng
dc.identifier.doi10.1016/j.physa.2021.126418
dc.relation.projectidinfo:eu-repo/grantAgreement/Technology Agency of the Czech Republic/CK/CK01000152/CZ/Advanced mathematical-physical methods for modeling of traffic flow microstructure/AdMath4Traffic
dc.rights.accessembargoedAccess
dc.date.embargoEndDate2024-03-31
dc.identifier.wos000703932500021
dc.type.statusPeer-reviewed
dc.type.versionacceptedVersion
dc.identifier.scopus2-s2.0-85116049469


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Zobrazit minimální záznam