Pilot Study of Using Google Traffic Data to Assess Conditions for Public Transport Operation on Urban Roads

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F22%3A00358694" target="_blank" >RIV/68407700:21260/22:00358694 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/SCSP54748.2022.9792550" target="_blank" >https://doi.org/10.1109/SCSP54748.2022.9792550</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/SCSP54748.2022.9792550" target="_blank" >10.1109/SCSP54748.2022.9792550</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Pilot Study of Using Google Traffic Data to Assess Conditions for Public Transport Operation on Urban Roads

Popis výsledku v původním jazyce

Fast and reliable public transport is one of the pillars of sustainable urban mobility. Creating good conditions for its operation in urban road network is a fundamental task for transport engineers. The PREFOS Research Group has long been involved in evaluating the conditions for public transport operation in urban roads. One of the key parameters is the impact of the car traffic flow on public transport operation. This paper describes a pilot study of the possibility of using Google traffic data to evaluate the characteristics of traffic flow and its comparison with the achieved travel speed of public transport in a given section. This pilot study is part of a broader research plan to develop a comprehensive method for evaluating the conditions for public transport operations on a street network.

Název v anglickém jazyce

Pilot Study of Using Google Traffic Data to Assess Conditions for Public Transport Operation on Urban Roads

Popis výsledku anglicky

Fast and reliable public transport is one of the pillars of sustainable urban mobility. Creating good conditions for its operation in urban road network is a fundamental task for transport engineers. The PREFOS Research Group has long been involved in evaluating the conditions for public transport operation in urban roads. One of the key parameters is the impact of the car traffic flow on public transport operation. This paper describes a pilot study of the possibility of using Google traffic data to evaluate the characteristics of traffic flow and its comparison with the achieved travel speed of public transport in a given section. This pilot study is part of a broader research plan to develop a comprehensive method for evaluating the conditions for public transport operations on a street network.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20104 - Transport engineering

Projekt

—

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 statě ve sborníku

2022 Smart City Symposium Prague

ISBN

978-1-6654-7923-3

ISSN

—

e-ISSN

—

Počet stran výsledku

5

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

000850179000013