All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20104 - Transport engineering

Result continuities

  • Project

  • 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

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

  • 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