Multi-Agent Reinforcement Learning Control for Ramp Metering

@inproceedings{Fares2014MultiAgentRL,
  title={Multi-Agent Reinforcement Learning Control for Ramp Metering},
  author={Ahmed Fares and Walid Gomaa},
  booktitle={ICSEng},
  year={2014}
}
Traffic congestion is a challenging problem faced in everyday life. It has multiple negative effects on average speed, overall total travel time, and fuel consumption; in addition, it is a primary cause of accidents and air pollution. Hence, comes the need for an intelligent reliable traffic control system. The objective of this paper is to optimize the overall traffic congestion in freeways via multiple ramps metering controls. An optimal freeway operation can be reached if we always keep the… CONTINUE READING

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