DESIGN OF INTELLIGENT CRUISE CONTROLLER OF MOTOR VEHICLES

dc.contributor.authorYildirim, Sahin
dc.contributor.authorBingol, Mehmet Safa
dc.contributor.authorSavas, Sertac
dc.date.accessioned2024-11-07T10:40:13Z
dc.date.available2024-11-07T10:40:13Z
dc.date.issued2023
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractNowadays, due to traffic jam and many cars on traffic, it is very necessary to control the distance between cars and obstacle. Many car producers have been designed and manufacture Cruise Control Systems for cars. Reinforcement learning, one of the popular artificial intelligence techniques, is a method used to train autonomous systems in many different fields. In this simulation study, the adaptive cruise control (ACC) of a ring bus serving in the campus area is controlled with Deep Deterministic Policy Gradient, which is one of the reinforcement learning methods. This simulation study is carried out considering the speed limit in the campus area and the acceleration values required for a comfortable journey of the passengers. Acceleration, velocity and distance values are given with graphs. Consequently; the proposal neural predictor has superior performance to adapt and predict the distance, velocity and acceleration of ego vehicle (bus). © 2023, Cefin Publishing House. All rights reserved.
dc.identifier.doi10.17683/ijomam/issue13.23
dc.identifier.endpage197
dc.identifier.issn2559-6497
dc.identifier.issue13
dc.identifier.scopus2-s2.0-85165130609
dc.identifier.scopusqualityQ4
dc.identifier.startpage193
dc.identifier.urihttps://doi.org/10.17683/ijomam/issue13.23
dc.identifier.urihttps://hdl.handle.net/11480/11522
dc.identifier.volume2023
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherCefin Publishing House
dc.relation.ispartofInternational Journal of Mechatronics and Applied Mechanics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241106
dc.subjectAdaptive Cruise Control
dc.subjectDDPG
dc.subjectReinforcement Learning
dc.titleDESIGN OF INTELLIGENT CRUISE CONTROLLER OF MOTOR VEHICLES
dc.typeArticle

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