Using Census Data for the Gravity Model in Smart Transport Planning

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F22%3A00360717" target="_blank" >RIV/68407700:21260/22:00360717 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1109/SCSP54748.2022.9792555" target="_blank" >https://doi.org/10.1109/SCSP54748.2022.9792555</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SCSP54748.2022.9792555" target="_blank" >10.1109/SCSP54748.2022.9792555</a>

Jazyk výsledku
angličtina
Název v původním jazyce
Using Census Data for the Gravity Model in Smart Transport Planning
Popis výsledku v původním jazyce
This paper focuses on the use of census ridership data to calibrate a self-generated gravity model that is not part of a full scale traffic model. It describes what data can be obtained from the census and how it can be used to build a gravity model. How this approach has been used. Presented general approach is applicable to Smart Cities and Smart Regions in cases, where a comprehensive transport model is not available and where it is necessary to get a quick overview of the significance of individual transport relationships.
Název v anglickém jazyce
Using Census Data for the Gravity Model in Smart Transport Planning
Popis výsledku anglicky
This paper focuses on the use of census ridership data to calibrate a self-generated gravity model that is not part of a full scale traffic model. It describes what data can be obtained from the census and how it can be used to build a gravity model. How this approach has been used. Presented general approach is applicable to Smart Cities and Smart Regions in cases, where a comprehensive transport model is not available and where it is necessary to get a quick overview of the significance of individual transport relationships.

Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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