01519087

Component

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.

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.

01503729

14-3918

English

20p

2014

Transportation Research Board 93rd Annual Meeting

Digital/other

Figures; Maps; References

Data collection; Mobility; Optimization; Real time information; Smartphones; Travel demand; Travel patterns; Travel time; Urbanization

Data and Information Technology; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2014 Paper #14-3918

TRIS, TRB, ATRI

Jan 27 2014 3:21PM