Latest revision as of 17:12, 12 February 2021

Abstract

One of the major tasks within the concept of an intelligent transportation system is the immediate indication of traffic breakdowns. A conventional approach evaluates a traffic condition by classif...

Document type: Article

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The different versions of the original document can be found in:

• https://www.tandfonline.com/doi/pdf/10.1080/19475683.2019.1675760?needAccess=true

• https://dblp.uni-trier.de/db/journals/agis/agis25.html#KalinicK19,

https://www.tandfonline.com/doi/pdf/10.1080/19475683.2019.1675760,

https://www.tandfonline.com/doi/full/10.1080/19475683.2019.1675760,

https://academic.microsoft.com/#/detail/2979835818

• https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/66971,

https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-669715,

https://doi.org/10.1080/19475683.2019.1675760,

https://opus.bibliothek.uni-augsburg.de/opus4/files/66971/Fuzzy%20inference%20approach%20in%20traffic%20congestion%20detection.pdf

• https://www.tandfonline.com/doi/pdf/10.1080/19475683.2019.1675760,

http://dx.doi.org/10.1080/19475683.2019.1675760 under the license http://creativecommons.org/licenses/by/4.0/