Queuing Theory Guided Intelligent Traffic Scheduling through Video Analysis using Dirichlet Process Mixture Model

@article{Kumaran2019QueuingTG,
  title={Queuing Theory Guided Intelligent Traffic Scheduling through Video Analysis using Dirichlet Process Mixture Model},
  author={Santhosh Kelathodi Kumaran and D. P. Dogra and P. Roy},
  journal={ArXiv},
  year={2019},
  volume={abs/1803.06480}
}
Abstract Intelligent traffic signaling is an important part of city road traffic management systems. In many countries, it is done through supervised/semi-supervised ways. With the advances in computer vision and machine learning, it is now possible to develop expert systems guided intelligent traffic signaling systems that are unsupervised in nature. In order to schedule traffic signals, it is essential to learn the traffic characterization parameters such as the number of vehicles, their… Expand
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