An LSTM-Based Speed Predictor Based on Traffic Simulation Data for Improving the Performance of Energy-Optimal Adaptive Cruise Control.
Yanzhao JiaChen CaiDaniel GörgesPublished in: ITSC (2020)
Keyphrases
- simulation data
- optimal control
- real time
- energy consumption
- neural network
- numerical simulations
- data sets
- control policy
- adaptive control
- traffic control
- minimum energy
- control system
- high speed
- network traffic
- adaptive threshold
- dynamic programming
- flow control
- road network
- energy minimization
- database
- control method
- worst case
- nearest neighbor
- artificial neural networks
- pattern recognition
- machine learning
- vehicle speed