@article{2184,
  author = {Xuejin Wan, Mengdan Gao, Jianchu Kang, Jianling Zhao},
  title = {Taxi Origin-Destination Areas of Interest Discovering Based on Functional Region Division},
  journal = {Journal of Networking Technology},
  year = {2017},
  volume = {8},
  number = {1},
  doi = {},
  url = {http://www.dline.info/jnt/fulltext/v8n1/jntv8n1_1.pdf},
  abstract = {This paper introduced a new method to discover the taxi Origin-Destination areas of interest based on functional region division to resolve the problem that taxis distribution is unreasonable. The problem occurs due to dispatching t axis
is not in line with the taxi demand in different functional regions during different time periods. The method proposed in this 
paper clustered t axi Origin-Destination data points of the functional region with the improved DB-SCAN algorithm and
yielded the areas of interest with the statistical method named Chi-square distribution. The accuracy and credibility of the
method was evaluated through two indicators called coverage and hit ratio and a comparison analysis on situations of
different regions. The experiment proved that the proposed method can effectively discover and predicted the taxi Origin-
Destination areas of interest in different functional regions in different time periods.},
}