Real-Time Traffic Prediction Approach Based on Simulation and Machine Learning Techniques

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dc.contributor.authorKim, Yeeunko
dc.contributor.authorTak, Hyeyoungko
dc.contributor.authorKim, Sunghoonko
dc.contributor.authorYeo, Hwasooko
dc.date.accessioned2023-01-17T13:00:35Z-
dc.date.available2023-01-17T13:00:35Z-
dc.date.created2023-01-05-
dc.date.issued2022-06-16-
dc.identifier.citationThe Korea Institute of ITS International Conference 2022-
dc.identifier.urihttp://hdl.handle.net/10203/304558-
dc.languageEnglish-
dc.publisherThe Korea Institute of Intelligent Transport Systems-
dc.titleReal-Time Traffic Prediction Approach Based on Simulation and Machine Learning Techniques-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameThe Korea Institute of ITS International Conference 2022-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocationICC JEJU-
dc.contributor.localauthorYeo, Hwasoo-
dc.contributor.nonIdAuthorKim, Yeeun-
dc.contributor.nonIdAuthorTak, Hyeyoung-
dc.contributor.nonIdAuthorKim, Sunghoon-
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CE-Conference Papers(학술회의논문)
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