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Function Verification of Intelligent System for Analysis and Prediction of Public Transport

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F24%3A00376400" target="_blank" >RIV/68407700:21260/24:00376400 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/SCSP61506.2024.10552691" target="_blank" >https://doi.org/10.1109/SCSP61506.2024.10552691</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SCSP61506.2024.10552691" target="_blank" >10.1109/SCSP61506.2024.10552691</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Function Verification of Intelligent System for Analysis and Prediction of Public Transport

  • Original language description

    The paper describes the software outputs of the R&D project “Intelligent system for analysis and prediction of public transport”. All developed outputs were integrated into the pilot plant to test and optimize before the production phase. All outputs were tested first individually and then complexly with interconnection to other parts of the system. The paper further describes the process of testing and the results obtained for the short-term prediction module for route planning and the module for analysis and medium-term predicting for the needs of public transport operators.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/CK01000165" target="_blank" >CK01000165: Intelligent system for analysis and prediction of public transport</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2024 Smart City Symposium Prague - IEEE PROCEEDINGS

  • ISBN

    979-8-3503-6096-7

  • ISSN

    2831-5618

  • e-ISSN

    2691-3666

  • Number of pages

    8

  • Pages from-to

  • Publisher name

    IEEE Press

  • Place of publication

    New York

  • Event location

    Prague

  • Event date

    May 23, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001258546700010