Dampen the Stop-and-Go Traffic with Connected and Automated Vehicles - A Deep Reinforcement Learning Approach.
Liming JiangYuanchang XieXiao WenDanjue ChenTienan LiNicholas G. EvansPublished in: MT-ITS (2021)
Keyphrases
- reinforcement learning
- traffic flow
- road traffic
- urban traffic
- intelligent transportation systems
- traffic congestion
- moving vehicles
- traffic signal
- city traffic
- real time
- vehicle speed
- traffic scenes
- traffic conditions
- traffic light
- traffic jams
- traffic signal control
- traffic information
- transportation networks
- semi automated
- traffic surveillance
- function approximation
- vehicle detection and tracking
- traffic management
- traffic accidents
- vehicular traffic
- markov decision processes
- traffic monitoring
- vehicle detection
- connected components
- traffic data
- model free
- traffic density
- vehicular networks
- learning algorithm
- traffic control
- reinforcement learning algorithms
- temporal difference
- travel time
- optimal control
- state space
- multi agent