When Crowdsourcing Meets Unmanned Vehicles: Toward Cost-Effective Collaborative Urban Sensing via Deep Reinforcement Learning.
Lige DingDong ZhaoMingzhe CaoHuadong MaPublished in: IEEE Internet Things J. (2021)
Keyphrases
- cost effective
- reinforcement learning
- autonomous vehicles
- urban traffic
- public transport
- low cost
- unmanned aerial vehicles
- traffic congestion
- real time
- transportation networks
- state space
- cost effectiveness
- path planning
- collaborative learning
- robot control
- model free
- sensor networks
- function approximation
- learning process
- learning algorithm
- data center
- optimal policy
- reinforcement learning algorithms
- urban areas
- travel time
- markov decision processes
- traffic control
- intrusion detection
- cloud computing
- traffic signal
- mobile robot
- road traffic
- underwater vehicles