Three methods for estimating a range of vehicular interactions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F18%3A00316582" target="_blank" >RIV/68407700:21340/18:00316582 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26110/17:PU121890

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.physa.2017.09.008" target="_blank" >http://dx.doi.org/10.1016/j.physa.2017.09.008</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.physa.2017.09.008" target="_blank" >10.1016/j.physa.2017.09.008</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Three methods for estimating a range of vehicular interactions

Popis výsledku v původním jazyce

We present three different approaches how to estimate the number of preceding cars influencing a decision-making procedure of a given driver moving in saturated traffic flows. The first method is based on correlation analysis, the second one evaluates (quantitatively) deviations from the main assumption in the convolution theorem for probability, and the third one operates with advanced instruments of the theory of counting processes (statistical rigidity). We demonstrate that universally-accepted premise on short-ranged traffic interactions may not be correct. All methods introduced have revealed that minimum number of actively-followed vehicles is two. It supports an actual idea that vehicular interactions are, in fact, middle-ranged. Furthermore, consistency between the estimations used is surprisingly credible. In all cases we have found that the interaction range (the number of actively-followed vehicles) drops with traffic density. Whereas drivers moving in congested regimes with lower density (around 30 vehicles per kilometer) react on four or five neighbors, drivers moving in high-density flows respond to two predecessors only.

Název v anglickém jazyce

Three methods for estimating a range of vehicular interactions

Popis výsledku anglicky

We present three different approaches how to estimate the number of preceding cars influencing a decision-making procedure of a given driver moving in saturated traffic flows. The first method is based on correlation analysis, the second one evaluates (quantitatively) deviations from the main assumption in the convolution theorem for probability, and the third one operates with advanced instruments of the theory of counting processes (statistical rigidity). We demonstrate that universally-accepted premise on short-ranged traffic interactions may not be correct. All methods introduced have revealed that minimum number of actively-followed vehicles is two. It supports an actual idea that vehicular interactions are, in fact, middle-ranged. Furthermore, consistency between the estimations used is surprisingly credible. In all cases we have found that the interaction range (the number of actively-followed vehicles) drops with traffic density. Whereas drivers moving in congested regimes with lower density (around 30 vehicles per kilometer) react on four or five neighbors, drivers moving in high-density flows respond to two predecessors only.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

<a href="/cs/project/GA15-15049S" target="_blank" >GA15-15049S: Detekce stochastických univerzalit v nerovnovážných stavech sociofyzikálních systémů metodami teorie náhodných matic</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

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

491

Číslo periodika v rámci svazku

January

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

15

Strana od-do

112-126

Kód UT WoS článku

000417661500011

EID výsledku v databázi Scopus

2-s2.0-85031999435