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.

• Record URL:
  https://doi.org/10.5075/epfl-thesis-5649
• Supplemental Notes:
  • Doctoral thesis (mathematics)
• Authors:
  • Chen, J
• Publication Date: 2013-1

Language

• English

Media Info

• Pagination: 110p

Subject/Index Terms

• TRT Terms: Cellular telephones; Data collection; Global Positioning System; Mathematical models; Route choice; Travel behavior
• ATRI Terms: Data collection; Global positioning system (GPS); Mobile phone; Modelling; Route choice; Travel behaviour
• ITRD Terms: 8735: Intelligent transport system
• Subject Areas: Data and Information Technology;

Filing Info

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