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Statistical aspects of gap-acceptance theory for unsignalized intersection capacity

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F22%3A50020171" target="_blank" >RIV/62690094:18470/22:50020171 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216305:26110/22:PU143998 RIV/68407700:21340/22:00356345 RIV/00216275:25510/22:39919608

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0378437122001078?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0378437122001078?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.physa.2022.127043" target="_blank" >10.1016/j.physa.2022.127043</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Statistical aspects of gap-acceptance theory for unsignalized intersection capacity

  • Original language description

    We partially correct and significantly deepen the Siegloch&apos;s method (1973), which is currently used to determine the capacity of unsignalized intersections. Taking into account current knowledge about microstructure of vehicular traffic flows we suggest Generalized Inverse Gaussian distribution as a theoretically and empirically substantiated alternative to the exponential distribution of priority-stream clearances, considered in Siegloch&apos;s original methodology. Furthermore, we formulate a statistical model for gap-acceptance theory and present a series of validated theoretical calculations leading to general formulas for proportion and statistical distribution of priority-stream clearances that exactly k minor-stream vehicles have utilized for their inclusion maneuver (accepted-clearance distribution of order k). Using up-to-date empirical data-sets we test hypotheses of priority-stream clearance-distribution and analyze sample acceptanceratios and empirical distribution of accepted clearances. By means of an original concept we finally estimate an implicit acceptance-rule, with the help of which a minor-street driver is deciding on acceptance/rejection of an offered priority-clearance. (c) 2022 Elsevier B.V. All rights reserved.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10308 - Astronomy (including astrophysics,space science)

Result continuities

  • Project

    <a href="/en/project/CK01000152" target="_blank" >CK01000152: Advanced mathematical-physical methods for modeling of traffic flow microstructure</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Physica A : statistical mechanics and its applications

  • ISSN

    0378-4371

  • e-ISSN

    1873-2119

  • Volume of the periodical

    594

  • Issue of the periodical within the volume

    MAY

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    19

  • Pages from-to

    "Article Number: 127043"

  • UT code for WoS article

    000793454600006

  • EID of the result in the Scopus database

    2-s2.0-85124795731