A taxi business intelligence system

Yong Ge, Chuanren Liu, Hui Xiong, Jian Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

54 Scopus citations

Abstract

The increasing availability of large-scale location traces creates unprecedent opportunities to change the paradigm for knowledge discovery in transportation systems. A particularly promising area is to extract useful business intelligence, which can be used as guidance for reducing inefficiencies in energy consumption of transportation sectors, improving customer experiences, and increasing business performances. However, extracting business intelligence from location traces is not a trivial task. Conventional data analytic tools are usually not customized for handling large, complex, dynamic, and distributed nature of location traces. To that end, we develop a taxi business intelligence system to explore the massive taxi location traces from different business perspectives with various data mining functions. Since we implement the system using the real-world taxi GPS data, this demonstration will help taxi companies to improve their business performances by understanding the behaviors of both drivers and customers. In addition, several identified technical challenges also motivate data mining people to develop more sophisticate techniques in the future.

Original languageEnglish (US)
Title of host publicationProceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'11
Pages735-738
Number of pages4
DOIs
StatePublished - 2011
Externally publishedYes
Event17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'11 - San Diego, CA, United States
Duration: Aug 21 2011Aug 24 2011

Publication series

NameProceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Conference

Conference17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'11
Country/TerritoryUnited States
CitySan Diego, CA
Period8/21/118/24/11

Keywords

  • Business intelligence
  • Route recommendation
  • Taxi driving fraud detection

ASJC Scopus subject areas

  • Software
  • Information Systems

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