Searched for: subject%3A%22Variable%255C%252Bspeed%255C%252Blimit%22
(1 - 1 of 1)
document
Han, Yu (author), Hegyi, A. (author), Zhang, Le (author), He, Zhengbing (author), Chung, Edward (author), Liu, Pan (author)
Conventional reinforcement learning (RL) models of variable speed limit (VSL) control systems (and traffic control systems in general) cannot be trained in real traffic process because new control actions are usually explored randomly, which may result in high costs (delays) due to exploration and learning. For this reason, existing RL-based...
journal article 2022