Modelling the Effects of E-Scooters in Urban Traffic Using Artificial Neural Networks
| dc.authorscopusid | 55539064100 | |
| dc.authorscopusid | 57983430900 | |
| dc.authorscopusid | 57219563729 | |
| dc.contributor.author | Dundar,S. | |
| dc.contributor.author | Berktas,E.S. | |
| dc.contributor.author | Hoke,M.C. | |
| dc.date.accessioned | 2024-05-25T12:34:29Z | |
| dc.date.available | 2024-05-25T12:34:29Z | |
| dc.date.issued | 2022 | |
| dc.department | Okan University | en_US |
| dc.department-temp | Dundar 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, Turkey | en_US |
| dc.description.abstract | E-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.citationcount | 0 | |
| dc.identifier.doi | 10.1109/ASYU56188.2022.9925542 | |
| dc.identifier.isbn | 978-166548894-5 | |
| dc.identifier.scopus | 2-s2.0-85142681246 | |
| dc.identifier.uri | https://doi.org/10.1109/ASYU56188.2022.9925542 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14517/2587 | |
| dc.institutionauthor | Dundar S. | |
| dc.institutionauthor | Dündar, Selim | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | Proceedings - 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 -- 183936 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.scopus.citedbyCount | 0 | |
| dc.subject | artificial neural networks | en_US |
| dc.subject | e-scooter | en_US |
| dc.subject | micromobility | en_US |
| dc.subject | PTV Vissim | en_US |
| dc.title | Modelling the Effects of E-Scooters in Urban Traffic Using Artificial Neural Networks | en_US |
| dc.type | Conference Object | en_US |