Learning-Based Cooperative Adaptive Cruise Control
Traffic congestion and the occurrence of traffic accidents are problems that can be mitigated by applying cooperative adaptive cruise control (CACC). In this work, we used deep reinforcement learning for CACC and assessed its potential to outperform model-based methods. The trade-off between distanc...
Guardado en:
Autores principales: | Jonas Mirwald, Johannes Ultsch, Ricardo de Castro, Jonathan Brembeck |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/d637cd7a680a413f9746628cfcd1b366 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Advanced Controller Development Based on eFMI with Applications to Automotive Vertical Dynamics Control
por: Johannes Ultsch, et al.
Publicado: (2021) -
Extension Coordinated Multi-Objective Adaptive Cruise Control Integrated with Direct Yaw Moment Control
por: Hongbo Wang, et al.
Publicado: (2021) -
Adaptive Control of Chaotic Signals: Investigated by Simulation Software and Real Electronic Circuits
por: Cheng-Hsiung Yang, et al.
Publicado: (2021) -
Increasing the Safety of Adaptive Cruise Control Using Physics-Guided Reinforcement Learning
por: Sorin Liviu Jurj, et al.
Publicado: (2021) -
Light-Responsive Soft Actuators: Mechanism, Materials, Fabrication, and Applications
por: Yaoli Huang, et al.
Publicado: (2021)