Stop Detection in Smartphone-based Travel Surveys

Author(s)
Zhao, Fang; Ghorpade, Ajinkya; Pereira, Francisco Câmara; Ben-Akiva, Moshe E; Zegras, Christopher
Thumbnail
Download1-s2.0-S2352146515003105-main.pdf (1.450Mb)
PUBLISHER_CC
Terms of use
Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/
Metadata
Show full item record
Abstract
Future Mobility Sensing (FMS) is a smartphone-based travel survey system that employs a web-based prompted-recall interaction to correct automatically inferred information. A key component of FMS is a stop detection algorithm that derives the users' activity locations and times based on the raw data collected by their phones. Output of this algorithm is presented in the Activity Diary for the users to validate, and its accuracy has a significant impact on user burden. In this paper, we present FMS' stop detection algorithm and its performance during testing by volunteers and public users during a large-scale field test.
Date issued
2015-12
URI
http://hdl.handle.net/1721.1/117145
Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Journal
Transportation Research Procedia
Publisher
Elsevier BV
Citation
Zhao, Fang et al. “Stop Detection in Smartphone-Based Travel Surveys.” Transportation Research Procedia 11 (2015): 218–226 © 2015 Elsevier B.V.
Version: Final published version
ISSN
2352-1465
Collections