Deep Learning-Based Congestion Detection at Urban Intersections
Deep Learning-Based Congestion Detection at Urban Intersections
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Contents
In this paper, a deep learning-based traffic state discrimination method is proposed to detect traffic congestion at urban intersections. The detection algorithm includes two parts, global speed detection and a traffic state discrimination algorithm. Firstly, the region of interest (ROI) is selected as the road intersection from the input image of...
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Full title
Deep Learning-Based Congestion Detection at Urban Intersections
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TN_cdi_doaj_primary_oai_doaj_org_article_45f510ccd6d743ebbf3aa3b1d357b91b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_45f510ccd6d743ebbf3aa3b1d357b91b
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s21062052
