Super-Poissonian Statistics In Traffic Flow
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F20%3A00347538" target="_blank" >RIV/68407700:21340/20:00347538 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082391021&partnerID=40&md5=03a9ad5cd9e27e95ab7bd668b0effc23" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082391021&partnerID=40&md5=03a9ad5cd9e27e95ab7bd668b0effc23</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Super-Poissonian Statistics In Traffic Flow
Popis výsledku v původním jazyce
We utilize number variance, a statistical tool originating from Random Matrix Theory, to investigate the nature and level of correlation among vehicles in real road two-lane traffic data. We show that while for both fast and slow lane the number variance is non-Poissonian, indicating a strong correlation between vehicles, the nature of the correlation itself differs lane by lane considerably. For the slow lane, the number variance exhibits a sub-Poissonian behaviour, similar to a short-ranged Dyson gas, and follows the predictions of Random Matrix Theory. For the fast lane, however, the number variance enters for certain densities a super-Poissonian regime, indicating that the system can’t be described by a short-ranged repulsive interaction only. We further show that the systems behaviour can be explained by a so called “vehicle bunching” effect, which is a result of lane-change behaviour originating in the slow lane, and which has remarkable similarities to an effect observed in thermal light photon counting experiments in quantum optics.
Název v anglickém jazyce
Super-Poissonian Statistics In Traffic Flow
Popis výsledku anglicky
We utilize number variance, a statistical tool originating from Random Matrix Theory, to investigate the nature and level of correlation among vehicles in real road two-lane traffic data. We show that while for both fast and slow lane the number variance is non-Poissonian, indicating a strong correlation between vehicles, the nature of the correlation itself differs lane by lane considerably. For the slow lane, the number variance exhibits a sub-Poissonian behaviour, similar to a short-ranged Dyson gas, and follows the predictions of Random Matrix Theory. For the fast lane, however, the number variance enters for certain densities a super-Poissonian regime, indicating that the system can’t be described by a short-ranged repulsive interaction only. We further show that the systems behaviour can be explained by a so called “vehicle bunching” effect, which is a result of lane-change behaviour originating in the slow lane, and which has remarkable similarities to an effect observed in thermal light photon counting experiments in quantum optics.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
10102 - Applied mathematics
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
19th Conference on Applied Mathematics Aplimat 2020 proceedings
ISBN
978-80-227-4983-1
ISSN
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e-ISSN
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Počet stran výsledku
12
Strana od-do
930-941
Název nakladatele
Slovak University of Technology
Místo vydání
Bratislava
Místo konání akce
Bratislava
Datum konání akce
4. 2. 2020
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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