Dampen the Stop-and-Go Traffic with Connected and Automated Vehicles - A Deep Reinforcement Learning Approach.
Liming JiangYuanchang XieDanjue ChenTienan LiNicholas G. EvansPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- traffic flow
- road traffic
- intelligent transportation systems
- traffic congestion
- moving vehicles
- urban traffic
- traffic light
- traffic conditions
- traffic information
- city traffic
- vehicle speed
- traffic scenes
- traffic signal
- traffic data
- traffic accidents
- traffic signal control
- real time
- travel time
- traffic surveillance
- traffic jams
- transportation networks
- function approximation
- vehicular traffic
- network traffic
- reinforcement learning algorithms
- semi automated
- traffic network
- model free
- road segments
- traffic density
- origin destination
- wireless communication
- multi agent
- learning process
- traffic control
- state space
- connected components
- traffic management
- learning algorithm
- public transport
- machine learning
- dynamic programming
- markov decision processes
- road network