Publication detail

Traffic flow merging – Statistical and numerical modeling of microstructure

KRBÁLEK, M. APELTAUER, J. ŠEBA, F.

Original Title

Traffic flow merging – Statistical and numerical modeling of microstructure

Type

journal article in Web of Science

Language

English

Original Abstract

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.

Keywords

Vehicular trafficMergingHeadway distributionStochastic resistivity

Authors

KRBÁLEK, M.; APELTAUER, J.; ŠEBA, F.

Released

1. 3. 2019

Publisher

Elsevier

ISBN

1877-7503

Periodical

Journal of Computational Science

Number

32

State

Kingdom of the Netherlands

Pages from

99

Pages to

105

Pages count

7

URL

https://www.sciencedirect.com/science/article/pii/S1877750318303259?dgcid=author

BibTex

@article{BUT155979,
  author="Milan {Krbálek} and Jiří {Apeltauer} and František {Šeba}",
  title="Traffic flow merging – Statistical and numerical modeling of microstructure",
  journal="Journal of Computational Science",
  year="2019",
  number="32",
  pages="99--105",
  doi="10.1016/j.jocs.2018.09.002",
  issn="1877-7503",
  url="https://www.sciencedirect.com/science/article/pii/S1877750318303259?dgcid=author"
}