Traffic flow merging - Statistical and numerical modeling of microstructure
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F19%3A50016131" target="_blank" >RIV/62690094:18470/19:50016131 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26110/19:PU131427 RIV/68407700:21340/19:00339580
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S1877750318303259?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1877750318303259?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jocs.2018.09.002" target="_blank" >10.1016/j.jocs.2018.09.002</a>
Alternative languages
Result language
angličtina
Original language name
Traffic flow merging - Statistical and numerical modeling of microstructure
Original language description
We present a detailed stochastic analysis of vehicle-by-vehicle data measured in the vicinity of a region where two traffic streams merge into one. We focus on statistical distributions of time headways as well as on their changes induced by a merging process. Accepting a well-proven hypothesis on GIG-distributed vehicular headways we propose, test and verify a thermodynamic particle-like traffic model with an implicit gap-acceptance rule controlling a process of merging. We show how a synchronization of merging streams affects a level of synchronization among vehicles within the merging region.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA15-15049S" target="_blank" >GA15-15049S: Detection of stochastic universalities in non-equilibrium states of socio-physical systems by means of Random Matrix Theory</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
JOURNAL OF COMPUTATIONAL SCIENCE
ISSN
1877-7503
e-ISSN
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Volume of the periodical
32
Issue of the periodical within the volume
MARCH
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
7
Pages from-to
99-105
UT code for WoS article
000468255300010
EID of the result in the Scopus database
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