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SubwayPS: towards smartphone positioning in underground public transportation systems

Published: 04 November 2014 Publication History

Abstract

Thanks to rapid advances in technologies like GPS and Wi-Fi positioning, smartphone users are able to determine their location almost everywhere they go. This is not true, however, of people who are traveling in underground public transportation networks, one of the few types of high-traffic areas where smartphones do not have access to accurate position information. In this paper, we introduce the problem of underground transport positioning on smartphones and present SubwayPS, an accelerometer-based positioning technique that allows smartphones to determine their location substantially better than baseline approaches, even deep beneath city streets. We highlight several immediate applications of positioning in subway networks in domains ranging from mobile advertising to mobile maps and present MetroNavigator, a proof-of-concept smartphone and smartwatch app that notifies users of upcoming points-of-interest and alerts them when it is time to get ready to exit the train.

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    cover image ACM Conferences
    SIGSPATIAL '14: Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
    November 2014
    651 pages
    ISBN:9781450331319
    DOI:10.1145/2666310
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 04 November 2014

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    Author Tags

    1. GPS
    2. accelerometer
    3. mobile devices
    4. mobile navigation
    5. positioning
    6. underground public transport

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    • University of North Texas
    • Microsoft
    • ORACLE
    • Facebook
    • SIGSPATIAL

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    SIGSPATIAL '14 Paper Acceptance Rate 39 of 184 submissions, 21%;
    Overall Acceptance Rate 257 of 1,238 submissions, 21%

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