01552765

Component

Until now, to observe regional travel mobility is still a hard task with the limitation of time-dependent large-scale data observed from the field. Travel demand modeling traditionally relies on travel surveys to understand travel behavior and to analyze travel patterns in terms of origin-destination (OD) flow to support transportation planning and policy decisions. However, travel surveys have become very expensive to conduct, and the response rate continuously decreases as the public becomes fatigued from being over-surveyed. The accuracy and the level of detail of travel forecasting are inevitably affected by these data issues. Recently large-scale mobile phone data have become an appealing data source to transportation professionals, as the mobile phone users have rapidly increased and abundant data have become available. This paper demonstrates how mobile phone data can be utilized to analyze OD travel flow dynamics, including methodologies for extracting time-space trajectories of travelers from mobile trace data and validation comparison of the spatial and temporal distributions of the derived travel demand with other data sources.

This paper was sponsored by TRB committee ABJ40 Travel Survey Methods.

01550057

15-0804

English

16p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Figures; Maps; References; Tables

Data files; Mobile telephones; Origin and destination; Traffic forecasting; Travel behavior; Travel patterns; Validation

Space-time trajectories

Pasadena (California)

Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2015 Paper #15-0804

TRIS, TRB, ATRI

Dec 30 2014 12:21PM