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Logistic Regression with Expert Intervention

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F16%3A00468130" target="_blank" >RIV/67985556:_____/16:00468130 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21260/16:00304139

  • Result on the web

    <a href="http://dx.doi.org/10.1109/SCSP.2016.7501032" target="_blank" >http://dx.doi.org/10.1109/SCSP.2016.7501032</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SCSP.2016.7501032" target="_blank" >10.1109/SCSP.2016.7501032</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Logistic Regression with Expert Intervention

  • Original language description

    This paper deals with problem of analysis of traffic data. A traffic network has several types of roads: historical centre, peripherals, arterial roads, etc. They have specific properties. For a traffic analysis, large amounts of data are needed. Some traffic data are difficult to obtain due to their rarenoccurrence. Typical example is the investigation of traffic accidents. In these cases, data from other similar roads can be used. In such cases, an expert intervention added to the general analysis is very important. In this paper, the logistic regression with two types of expert intervention is briefly introduced. The performance of these methods is demonstrated on examples concerning seriousness of traffic accidents.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA15-03564S" target="_blank" >GA15-03564S: Clustering and classification using recursive mixture estimation</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    SCSP 2016. Smart Cities Symposium Prague

  • ISBN

    978-1-5090-1116-2

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1-5

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Prague

  • Event date

    May 26, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000390205300022