Intelligent Energy-Efficient Train Trajectory Optimization Approach Based on Supervised Reinforcement Learning for Urban Rail Transits.
Guannan LiSiu Wing OrKa Wing ChanPublished in: IEEE Access (2023)
Keyphrases
- energy efficient
- reinforcement learning
- wireless sensor networks
- energy consumption
- sensor networks
- learning algorithm
- data aggregation
- supervised learning
- data gathering
- data dissemination
- multi hop
- base station
- energy efficiency
- sensor nodes
- low overhead
- multi core architecture
- machine learning
- high speed
- data transmission
- artificial intelligence
- data collection
- intelligent systems
- routing protocol
- multi agent
- labeled data