Big Data Application for Urban Transport Solutions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F22%3A00358403" target="_blank" >RIV/68407700:21260/22:00358403 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/SCSP54748.2022.9792538" target="_blank" >https://doi.org/10.1109/SCSP54748.2022.9792538</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/SCSP54748.2022.9792538" target="_blank" >10.1109/SCSP54748.2022.9792538</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Big Data Application for Urban Transport Solutions

Popis výsledku v původním jazyce

With the development of intelligent transport systems in cities, the efficient use of big data is becoming increasingly important. The aim of this paper is to focus on specific sources of Big Data and specific outputs that can be obtained from these data in the conditions of the Czech Republic and then use these to propose recommendations for traffic solutions in a specific traffic area in Prague using the Pelc-Tyrolka area as a case study. In the research part, good examples of practice in the use of Big Data for transport solutions in the area abroad are found. These are then confronted with the real situation within Prague. In the methodology part, the procedure for effective processing and evaluation of different data sources (detector data, FCD data, data from information systems) is defined. Based on this procedure, data from the Pelc-Tyrolka area was evaluated to assess two specific traffic solutions in the area, and based on the results, recommendations were then proposed for future solutions in the area. Finally, the conclusions from the case study are generalized for the future use of Big Data in transport in the conditions of the Czech Republic.

Název v anglickém jazyce

Big Data Application for Urban Transport Solutions

Popis výsledku anglicky

With the development of intelligent transport systems in cities, the efficient use of big data is becoming increasingly important. The aim of this paper is to focus on specific sources of Big Data and specific outputs that can be obtained from these data in the conditions of the Czech Republic and then use these to propose recommendations for traffic solutions in a specific traffic area in Prague using the Pelc-Tyrolka area as a case study. In the research part, good examples of practice in the use of Big Data for transport solutions in the area abroad are found. These are then confronted with the real situation within Prague. In the methodology part, the procedure for effective processing and evaluation of different data sources (detector data, FCD data, data from information systems) is defined. Based on this procedure, data from the Pelc-Tyrolka area was evaluated to assess two specific traffic solutions in the area, and based on the results, recommendations were then proposed for future solutions in the area. Finally, the conclusions from the case study are generalized for the future use of Big Data in transport in the conditions of the Czech Republic.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10700 - Other natural sciences

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

2022 Smart City Symposium Prague

ISBN

978-1-6654-7923-3

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

—

Název nakladatele

IEEE Signal Processing Society

Místo vydání

Piscataway

Místo konání akce

Prague

Datum konání akce

26. 5. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000850179000002