Deriving Travel Behavior Data of Urban Subway Passengers from Mobile Phone Network

The subway is an important transportation mode in large cities. Subway operators need travel behavior data of subway passengers to improve their service level. In this paper, a traffic collection method based on wireless communication technology is reviewed and compared. A method to derive information from cell-ID and HO data based on the special settlement of underground mobile communication base stations is proposed. The passenger volume and travel time -- in both the subway network and subway station -- can be drawn, which will support the operation management and travel navigation.

Language

  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 396-405
  • Monograph Title: CICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems

Subject/Index Terms

Filing Info

  • Accession Number: 01536344
  • Record Type: Publication
  • ISBN: 9780784413623
  • Files: TRIS, ASCE
  • Created Date: Jul 2 2014 3:02PM