A platform for personal e-mobility with route forecasting
dc.contributor.author | Kaya, Kamil | |
dc.contributor.author | Poyrazoğlu, Göktürk | |
dc.date.accessioned | 2021-06-15T12:49:40Z | |
dc.date.available | 2021-06-15T12:49:40Z | |
dc.date.issued | 2020 | |
dc.identifier.isbn | 978-172817116-6 | |
dc.identifier.uri | http://hdl.handle.net/10679/7437 | |
dc.identifier.uri | https://ieeexplore.ieee.org/document/9179482 | |
dc.description.abstract | This study reports a new e-mobility platform to construct effective usage of charging points by electric vehicle users to eliminate long charge durations. The e-mobility platform includes such subsystems as smartphones, databases, and IoT. A smartphone is used by the user to connect with an electric vehicle via Bluetooth, and the phone makes bidirectional communication with the database system by sending a car's location, charge level, and reservation request information and taking charge station status and most suitable station proposal. Also, the platform continuously checks the car's charge level and when the level falls in a critical range, automatically suggests the user navigate the car to the nearest charge station. Moreover, our platform is also designed for route forecasting concerning driver's past travel routines. In this forecasting module, the platform also offers the most suitable charge stations by controlling the charge level of the car, the density of the charging station, duration of total charging. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) | |
dc.rights | restrictedAccess | |
dc.title | A platform for personal e-mobility with route forecasting | en_US |
dc.type | Conference paper | en_US |
dc.publicationstatus | Published | en_US |
dc.contributor.department | Özyeğin University | |
dc.contributor.authorID | (ORCID 0000-0002-8503-1767 & YÖK ID 280588) Poyrazoğlu, Göktürk | |
dc.contributor.ozuauthor | Poyrazoğlu, Göktürk | |
dc.identifier.doi | 10.1109/ICECCE49384.2020.9179482 | en_US |
dc.subject.keywords | E-mobility | en_US |
dc.subject.keywords | Charging stations | en_US |
dc.subject.keywords | Route tracker | en_US |
dc.subject.keywords | Route forecasting | en_US |
dc.subject.keywords | Machine learning | en_US |
dc.identifier.scopus | SCOPUS:2-s2.0-85091893078 | |
dc.contributor.ozugradstudent | Kaya, Kamil | |
dc.contributor.authorMale | 2 | |
dc.relation.publicationcategory | Conference Paper - International - Institutional Academic Staff and Graduate Student |
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