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Methodology for Generating Synthetic Time-Dependant Probabilistic Speed Profiles

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F20%3A10245361" target="_blank" >RIV/61989100:27740/20:10245361 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007%2F978-981-15-2930-6_8" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-981-15-2930-6_8</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-981-15-2930-6_8" target="_blank" >10.1007/978-981-15-2930-6_8</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Methodology for Generating Synthetic Time-Dependant Probabilistic Speed Profiles

  • Original language description

    Traffic flow management of smart city is one of the most current topics in traffic modeling. We have developed a method based on traffic routing and reordering that is capable of performing this task. One of the inputs of this method is time-dependant probabilistic speed profile, i.e., speed profiles that take into account both the time and uncertainty of traffic speed due to various traffic events and peaks. However, the exact calculation of these profiles for each road is very difficult due to the huge amounts of real-world data required. Therefore, we propose a methodology, which should, by utilizing various available metadata about traffic network and Markov chain model, be capable of producing these probabilistic speed profiles synthetically. (C) Springer Nature Singapore Pte Ltd 2020.

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Advances in Intelligent Systems and Computing. Volume 1178

  • ISBN

    978-981-15-5746-0

  • ISSN

    2194-5357

  • e-ISSN

    2194-5365

  • Number of pages

    14

  • Pages from-to

    95-108

  • Publisher name

    Springer

  • Place of publication

    Singapur

  • Event location

    Kalkata

  • Event date

    Feb 28, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article