Causal inference of the traffic density for smart cities

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dc.authoridAlper Öner / 0000-0002-6971-7494en_US
dc.authorscopusidAlper Öner / 50262728500en_US
dc.authorwosidAlper Öner / ACG-0850-2022
dc.contributor.authorDurdu, Uğuray
dc.contributor.authorDemirci, Doğukan
dc.contributor.authorBalık, Alperen
dc.contributor.authorKaçar, Enes
dc.contributor.authorÖner, Alper
dc.date.accessioned2022-11-07T07:20:20Z
dc.date.available2022-11-07T07:20:20Z
dc.date.issued2022en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümüen_US
dc.description.abstractIn this research, causal inference result is calculated on the real data of Istanbul Metropolitan Municipality (IMM) for smart cities. With the increase in the use of artificial intelligence and IoT, the solutions of the problems experienced by the cities have become easier and new solutions are being developed. Causal Inference is a technique whose importance has increased in recent years. In this research, the traffic problem in smart cities is handled through causal inference methods and machine learning algorithms. In the presence of real data, the causal relationships of smart cities were calculated with the newly developed double-layer causal inference method. In this way, the causal effects of weather conditions on traffic density have been clearly demonstrated. Thus, this causal inference method will contribute to the efficient planning of resource consumption in smart cities.en_US
dc.identifier.citationDurdu, U., Demirci, D., Balik, A., Kacar, E., & Oner, A. (2022). Causal inference of the traffic density for smart cities. Paper presented at the 2022 30th Signal Processing and Communications Applications Conference, SIU 2022, doi:10.1109/SIU55565.2022.9864981 Retrieved from www.scopus.comen_US
dc.identifier.doi10.1109/SIU55565.2022.9864981en_US
dc.identifier.scopus2-s2.0-85138700484en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/SIU55565.2022.9864981
dc.identifier.urihttps://hdl.handle.net/20.500.12713/3240
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÖner, Alper
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectCasual Inferenceen_US
dc.subjectLoTen_US
dc.subjectMachine Learningen_US
dc.subjectSmart Citiesen_US
dc.titleCausal inference of the traffic density for smart citiesen_US
dc.typeConference Objecten_US

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