Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks

@article{Liang2018DeepRL,
  title={Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks},
  author={Xiaoyuan Liang and Xunsheng Du and Guiling Wang and Zhu Han},
  journal={ArXiv},
  year={2018},
  volume={abs/1803.11115}
}
Existing inefficient traffic light control causes numerous problems, such as long delay and waste of energy. To improve efficiency, taking real-time traffic information as an input and dynamically adjusting the traffic light duration accordingly is a must. In terms of how to dynamically adjust traffic signals’ duration, existing works either split the traffic signal into equal duration or extract limited traffic information from the real data. In this paper, we study how to decide the traffic… 
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