Corpus ID: 232075726

Partitioned Graph Convolution Using Adversarial and Regression Networks for Road Travel Speed Prediction

@article{Kjr2021PartitionedGC,
  title={Partitioned Graph Convolution Using Adversarial and Regression Networks for Road Travel Speed Prediction},
  author={Jakob Meldgaard Kj{\ae}r and Lasse Kristensen and Mads Alberg Christensen},
  journal={ArXiv},
  year={2021},
  volume={abs/2103.00067}
}
Access to quality travel time information for roads in a road network has become increasingly important with the rising demand for real-time travel time estimation for paths within road networks. In the context of the Danish road network (DRN) dataset used in this paper, the data coverage is sparse and skewed towards arterial roads, with a coverage of 23.88% across 850,980 road segments, which makes travel time estimation difficult. Existing solutions for graph-based data processing often… Expand

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