AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data

This paper describes a system to leverage data on cell phones to understand mobility patterns and presents a large-scale network design model for public transit while considering existing service offerings. The work is motivated by the rapid urbanization in growth market cities across the world, where adequate resources to develop detailed travel demand models may be absent. Urban growth is coupled with high cell phone penetration which transit operators can leverage to better match observed demand for travel with service offerings. Based on call detail records from a telecommunications operator in Abidjan, Côte d’Ivoire, this paper describes analytics and optimization techniques that result in system-wide journey time improvements of 10%. The main contribution of this paper is to demonstrate how big data analytics and optimization tools can transform data from opportunistic sensing in the real-world to improve urban mobility outcomes.

• Supplemental Notes:
  • This paper was sponsored by TRB committee AP010 Transit Management and Performance. Alternate title: All Aboard: System for Exploring Urban Mobility and Optimizing Public Transport by Using Cell Phone Data.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Berlingerio, Michele
  • Calabrese, Francesco
  • Di Lorenzo, Giusy
  • Nair, Rahul
  • Pinelli, Fabio
  • Sbodio, Marco Luca
• Conference:
  • Transportation Research Board 93rd Annual Meeting
  • Location: Washington DC
  • Date: 2014-1-12 to 2014-1-16
• Date: 2014

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References;
• Pagination: 20p
• Monograph Title: TRB 93rd Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Data collection; Mobility; Optimization; Real time information; Smartphones; Travel demand; Travel patterns; Travel time; Urbanization
• Subject Areas: Data and Information Technology; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01519087
• Record Type: Publication
• Report/Paper Numbers: 14-3918
• Files: TRIS, TRB, ATRI
• Created Date: Mar 24 2014 12:01PM