Data Driven Hourly Taxi Drop-offs Prediction using TLC Trip Record Data

@article{Wickramasinghe2019DataDH,
  title={Data Driven Hourly Taxi Drop-offs Prediction using TLC Trip Record Data},
  author={Chathurika S. Wickramasinghe and Daniel L. Marino and F. Yucel and Eyuphan Bulut and Milos Manic},
  journal={2019 12th International Conference on Human System Interaction (HSI)},
  year={2019},
  pages={168-173}
}
Crowdsourcing applications are proven to be a promising tool to gather valuable information, which can be used for a wide range of tasks, such as ensuring public safety. Traffic data collected using these applications have been used for efficient evacuation planning in large cities. In this paper, we propose to use regression-based machine learning methods to predict hourly taxi rides for a given location in a target day of week and month. The presented method can be used for the following… 
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