Modelling the Effects of E-Scooters in Urban Traffic Using Artificial Neural Networks

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dc.authorscopusid55539064100
dc.authorscopusid57983430900
dc.authorscopusid57219563729
dc.contributor.authorDundar,S.
dc.contributor.authorBerktas,E.S.
dc.contributor.authorHoke,M.C.
dc.contributor.otherİnşaat Mühendisliği / Civil Engineering
dc.date.accessioned2024-05-25T12:34:29Z
dc.date.available2024-05-25T12:34:29Z
dc.date.issued2022
dc.departmentOkan Universityen_US
dc.department-tempDundar S., Istanbul Okan University, Civil Engineering Department, Istanbul, Turkey; Berktas E.S., Istanbul Okan University, Civil Engineering Department, Istanbul, Turkey; Hoke M.C., Istanbul Okan University, Civil Engineering Department, Istanbul, Turkeyen_US
dc.description.abstractE-scooters have become a popular transportation alternative, especially for short distances. Compared to motor vehicles, e-scooters are operated at lower speeds on urban highways, therefore; changing traffic flow characteristics and reducing road traffic safety. Within the scope of this study, the effects of different demand levels of e-scooters on Istanbul Bagdat Avenue traffic were examined and modeled using artificial neural networks. Trained artificial neural network can estimate the hourly traffic volume and average speed values with a R2 value of 0.9699 and 0.9853, respectively. The effects of e-scooters on traffic can also be examined for different traffic conditions with the trained network structure. © 2022 IEEE.en_US
dc.identifier.citation0
dc.identifier.doi10.1109/ASYU56188.2022.9925542
dc.identifier.isbn978-166548894-5
dc.identifier.scopus2-s2.0-85142681246
dc.identifier.urihttps://doi.org/10.1109/ASYU56188.2022.9925542
dc.identifier.urihttps://hdl.handle.net/20.500.14517/2587
dc.institutionauthorDundar S.
dc.institutionauthorDündar, Selim
dc.institutionauthorDündar, Selim
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings - 2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022 -- 2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022 -- 7 September 2022 through 9 September 2022 -- Antalya -- 183936en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectartificial neural networksen_US
dc.subjecte-scooteren_US
dc.subjectmicromobilityen_US
dc.subjectPTV Vissimen_US
dc.titleModelling the Effects of E-Scooters in Urban Traffic Using Artificial Neural Networksen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery52fffa12-457c-4662-8e87-9cd26b575049
relation.isOrgUnitOfPublication43a00f20-ca47-4515-b3a3-db2c86320ff6
relation.isOrgUnitOfPublication.latestForDiscovery43a00f20-ca47-4515-b3a3-db2c86320ff6

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