DESIGN OF INTELLIGENT CRUISE CONTROLLER OF MOTOR VEHICLES
Küçük Resim Yok
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Cefin Publishing House
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Nowadays, 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.
Açıklama
Anahtar Kelimeler
Adaptive Cruise Control, DDPG, Reinforcement Learning
Kaynak
International Journal of Mechatronics and Applied Mechanics
WoS Q Değeri
Scopus Q Değeri
Q4
Cilt
2023
Sayı
13
