Pedestrian Kernel Density Estimates: The Individual Approach

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F24%3A00375992" target="_blank" >RIV/68407700:21340/24:00375992 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1007/978-981-99-7976-9_17" target="_blank" >https://doi.org/10.1007/978-981-99-7976-9_17</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-981-99-7976-9_17" target="_blank" >10.1007/978-981-99-7976-9_17</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Pedestrian Kernel Density Estimates: The Individual Approach

Popis výsledku v původním jazyce

The pedestrian density evaluation problem can be generally perceived as a sampling exercise. Assuming a density distribution inside the analysed area is already generated, the task its to generate a number characterizing the state of an area (detector estimates) or the surroundings of a pedestrian (individual approach). Application of individual density may be crucial e.g. to calibrate any microscopic model or to measure any interaction between pedestrians. Thus, this contribution deals with the individual concept using a conic kernel to generate the density distribution ensuring a pedestrian blurring with great performance. Then the density in pedestrian surroundings of an arbitrary shape with a specific range for a specific pedestrian is defined using kernel distributions. The influence of the shape of pedestrian surroundings and its size described by parameter r are presented suing quantitative metrics. The following type of surroundings (using a different r) are examined: circle (radius); ellipse (length of semi-axes) and sector (radius, angle) which are rotated in accordance with a direction of a pedestrian movement.

Název v anglickém jazyce

Pedestrian Kernel Density Estimates: The Individual Approach

Popis výsledku anglicky

The pedestrian density evaluation problem can be generally perceived as a sampling exercise. Assuming a density distribution inside the analysed area is already generated, the task its to generate a number characterizing the state of an area (detector estimates) or the surroundings of a pedestrian (individual approach). Application of individual density may be crucial e.g. to calibrate any microscopic model or to measure any interaction between pedestrians. Thus, this contribution deals with the individual concept using a conic kernel to generate the density distribution ensuring a pedestrian blurring with great performance. Then the density in pedestrian surroundings of an arbitrary shape with a specific range for a specific pedestrian is defined using kernel distributions. The influence of the shape of pedestrian surroundings and its size described by parameter r are presented suing quantitative metrics. The following type of surroundings (using a different r) are examined: circle (radius); ellipse (length of semi-axes) and sector (radius, angle) which are rotated in accordance with a direction of a pedestrian movement.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

Traffic and Granular Flow '22

ISBN

978-981-99-7975-2

ISSN

2366-2557

e-ISSN

2366-2565

Počet stran výsledku

8

Strana od-do

133-140

Název nakladatele

Springer Nature Singapore Pte Ltd.

Místo vydání

—

Místo konání akce

Delhi

Datum konání akce

15. 10. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001283974700017