Modeling route choice behavior using smartphone data

In this thesis, we develop methods for modeling route choice behavior using smartphone data. The developing global positioning system (GPS) technology and the popularity of smartphones have revolutionized the revealed preference route choice data collection. Nowadays, smartphones are embedded with various kinds of sensors that are able to provide mobility related information. These sensors include GPS, accelerometer and bluetooth. The recorded raw data is not directly applicable to travel behavior study, information such as the paths and transport modes of travels have to be inferred. The inference procedure is challenging due to the poor quality and the variety of the data. This thesis deals with these challenges by proposing probabilistic methods that account for errors in the data, and fusing various kinds of smartphone data in an integrated framework. Based on the inference methods, a route choice modeling framework exploiting GPS data is developed.

Language

  • English

Media Info

  • Pagination: 110p

Subject/Index Terms

Filing Info

  • Accession Number: 01483796
  • Record Type: Publication
  • Source Agency: ARRB
  • Files: ATRI
  • Created Date: Jun 13 2013 12:27PM