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Titel:

Congestion Hot Spot Identification using Automated Pattern Recognition

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Kessler, Lisa; Karl, Barbara; Bogenberger Klaus
Abstract:
This paper introduces a methodology which identifies congestion hot spots for individual congestion types. The proposed algorithm first isolates coherent congested clusters out of a spatio-temporally discretized speed matrix. Then, virtually driven trajectories which pass through the respective congestion area are calculated and their speed profiles are analyzed. A congestion type is assigned to each trajectory and thereafter, a congestion type for the overall cluster is determined. Consi...     »
Kongress- / Buchtitel:
2020 IEEE Intelligent Transportation Systems Conference (ITSC)
Ausrichter der Konferenz:
IEEE
Verlag / Institution:
IEEE
Publikationsdatum:
01.10.2020
Jahr:
2020
Quartal:
4. Quartal
Jahr / Monat:
2020-10
Monat:
Oct
Volltext / DOI:
doi:https://doi.org/10.1109/ITSC45102.2020.9294598
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