Pilot Study of Using Google Traffic Data to Assess Conditions for Public Transport Operation on Urban Roads
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Pilot Study of Using Google Traffic Data to Assess Conditions for Public Transport Operation on Urban Roads
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20104 - Transport engineering
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2022 Smart City Symposium Prague
ISBN
978-1-6654-7923-3
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
IEEE Signal Processing Society
Place of publication
Piscataway
Event location
Prague
Event date
May 26, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000850179000013