Optimal estimates for short horizon travel time prediction in urban areas

@article{liobait2016OptimalEF,
  title={Optimal estimates for short horizon travel time prediction in urban areas},
  author={Indrė Žliobaitė and Mikhail Khokhlov},
  journal={Intell. Data Anal.},
  year={2016},
  volume={20},
  pages={1459-1475}
}
Increasing popularity of mobile route planning applications based on GPS technology provides opportunities for collecting traffic data in urban environments. One of the main challenges for travel time estimation and prediction in such a setting is how to aggregate data from vehicles that have followed different routes, and predict travel time for other routes of interest. One approach is to predict travel times for route segments, and sum those estimates to obtain a prediction for the whole… 

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