Stop Detection in Smartphone-based Travel Surveys
Name
1-s2.0-S2352146515003105-main.pdf
Size
1.45 MB
Format
Adobe PDF
Checksum (MD5)
654ba37cc7f7b12ac24559a8ce8a43a3
Author(s)
Zhao, Fang
Ghorpade, Ajinkya
Pereira, Francisco Câmara
Ben-Akiva, Moshe E
Zegras, Christopher
Date Issued
December 2015
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
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.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/J.TRPRO.2015.12.019
