skip to main content
10.1145/2800835.2800904acmconferencesArticle/Chapter ViewAbstractPublication PagesubicompConference Proceedingsconference-collections
poster

Detecting mischoice of public transportation route based on smartphone and GIS

Published: 07 September 2015 Publication History

Abstract

We investigate a method to detect mischoice of route taking in a public transportation trip. A station toward which a user is heading is identified to judge if he/she is taking a correct route, which is realized by comparing the angle between the vector from the previous station to the user's current position and other vectors to branch stations. An experiment showed that five of six routes had above 85% accuracy of "next station identification".

References

[1]
National Land Numerical Information download service. http://nlftp.mlit.go.jp/ksj-e/index.html.
[2]
Weka 3: Data Mining Software in Java. http://www.cs.waikato.ac.nz/ml/weka/.
[3]
CodePlus Co., Ltd. Station database. www.ekidata.jp.
[4]
Ito, M., et al. A Localization Method in the Underground Trains for Smartphone Users. In Tech. Report of IEICE SIG-HPB (February 2015). (in Japanese)
[5]
Jorudan. Co., Ltd. Norikae-annai. http://www.jorudan.co.jp/english/.
[6]
Stockx, T., et al. Subwayps: Towards Smartphone Positioning in Underground Public Transportation Systems. In Proc. of, SIGSPATIAL '14, (2014), pp. 93--102.

Cited By

View all
  • (2019)SALA: A Self-Adaptive Learning Algorithm—Towards Efficient Dynamic Route Guidance in Urban Traffic NetworksNeural Processing Letters10.1007/s11063-018-9870-050:1(77-101)Online publication date: 1-Aug-2019
  • (2018)Hybrid machine learning and optimisation method to solve a tri‐level road network protection problemIET Intelligent Transport Systems10.1049/iet-its.2018.516812:9(1011-1019)Online publication date: 6-Sep-2018

Index Terms

  1. Detecting mischoice of public transportation route based on smartphone and GIS

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    UbiComp/ISWC'15 Adjunct: Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers
    September 2015
    1626 pages
    ISBN:9781450335751
    DOI:10.1145/2800835
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 07 September 2015

    Check for updates

    Author Tags

    1. GIS
    2. mischoice
    3. public transportation
    4. smartphone

    Qualifiers

    • Poster

    Conference

    UbiComp '15
    Sponsor:
    • Yahoo! Japan
    • SIGMOBILE
    • FX Palo Alto Laboratory, Inc.
    • ACM
    • Rakuten Institute of Technology
    • Microsoft
    • Bell Labs
    • SIGCHI
    • Panasonic
    • Telefónica
    • ISTC-PC

    Acceptance Rates

    Overall Acceptance Rate 764 of 2,912 submissions, 26%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)3
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 15 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2019)SALA: A Self-Adaptive Learning Algorithm—Towards Efficient Dynamic Route Guidance in Urban Traffic NetworksNeural Processing Letters10.1007/s11063-018-9870-050:1(77-101)Online publication date: 1-Aug-2019
    • (2018)Hybrid machine learning and optimisation method to solve a tri‐level road network protection problemIET Intelligent Transport Systems10.1049/iet-its.2018.516812:9(1011-1019)Online publication date: 6-Sep-2018

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media