Statistical aspects of gap-acceptance theory for unsignalized intersection capacity

Kód výsledku v 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>

Nalezeny alternativní kódy

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

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Statistical aspects of gap-acceptance theory for unsignalized intersection capacity

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Statistical aspects of gap-acceptance theory for unsignalized intersection capacity

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10308 - Astronomy (including astrophysics,space science)

Projekt

<a href="/cs/project/CK01000152" target="_blank" >CK01000152: Pokročilé matematicko-fyzikální metody modelování mikrostruktury dopravního proudu</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Physica A : statistical mechanics and its applications

ISSN

0378-4371

e-ISSN

1873-2119

Svazek periodika

594

Číslo periodika v rámci svazku

MAY

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

19

Strana od-do

"Article Number: 127043"

Kód UT WoS článku

000793454600006

EID výsledku v databázi Scopus

2-s2.0-85124795731