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An online localization method for a subway train utilizing the barometer on a smartphone

Authors:

Satoshi Hyuga,

Masaki Ito,

Masayuki Iwai,

Kaoru SezakiAuthors Info & Claims

SIGSPACIAL '16: Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Article No.: 50, Pages 1 - 4

https://doi.org/10.1145/2996913.2996999

Published: 31 October 2016 Publication History

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Abstract

Knowing the location of a train is necessary for the development of useful services for train passengers. However, popular localization methods such as GPS and Wi-Fi are not accurate, especially on a subway. This paper proposes an online algorithm for localization on a subway using only a barometer. We estimate the motion state from the change of elevation, then estimate the last station stopped at using the similarity of a series of elevations recorded when the train stopped to the actual elevations of the stations. We evaluated the proposed method using data from the subway in Tokyo. We also developed a mobile application to demonstrate the proposed method.

References

[1]

Satoshi Hyuga, Masaki Ito, Masayuki Iwai, and Kaoru Sezaki. Estimate a user's location using smartphone's barometer on a subway. In Proceedings of the 5th International Workshop on Mobile Entity Localization and Tracking in GPS-less Environments. ACM, 2015.

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Cited By

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Padoan LSilvestri FZamengo B(2024)Mapping Passenger Trajectories to Train Schedules - industrial paperProceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems10.1145/3678717.3691270(444-453)Online publication date: 29-Oct-2024
https://dl.acm.org/doi/10.1145/3678717.3691270
Horita LPrzewodowski ASantos TOsorio F(2020)Altitude offset constraint for mobile robots’ localization2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)10.1109/ITSC45102.2020.9294561(1-6)Online publication date: 20-Sep-2020
https://doi.org/10.1109/ITSC45102.2020.9294561
Inoue HKaji K(2019)A Smartphone Application that Automatically Provides Arrival Time based on Estimation of Train on Board2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU)10.23919/ICMU48249.2019.9006636(1-4)Online publication date: Nov-2019
https://doi.org/10.23919/ICMU48249.2019.9006636
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Index Terms

An online localization method for a subway train utilizing the barometer on a smartphone
1. Information systems
  1. Information systems applications
    1. Spatial-temporal systems
      1. Location based services

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Published In

SIGSPACIAL '16: Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

October 2016

649 pages

ISBN:9781450345897

DOI:10.1145/2996913

General Chairs:
Mohamed Ali
University of Washington, Tacoma
,
Shawn Newsam
University of California, Merced
,
Program Chairs:
Matthias Renz
George Mason University, USA
,
Goce Trajcevski
Northwestern University, USA
,
Siva Ravada
Oracle Corporation, USA

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 ACM 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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Association for Computing Machinery

New York, NY, United States

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Published: 31 October 2016

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SIGSPATIAL'16

SIGSPATIAL'16: 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

October 31 - November 3, 2016

California, Burlingame

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SIGSPACIAL '16 Paper Acceptance Rate 40 of 216 submissions, 19%;

Overall Acceptance Rate 257 of 1,238 submissions, 21%

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Padoan LSilvestri FZamengo B(2024)Mapping Passenger Trajectories to Train Schedules - industrial paperProceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems10.1145/3678717.3691270(444-453)Online publication date: 29-Oct-2024
https://dl.acm.org/doi/10.1145/3678717.3691270
Horita LPrzewodowski ASantos TOsorio F(2020)Altitude offset constraint for mobile robots’ localization2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)10.1109/ITSC45102.2020.9294561(1-6)Online publication date: 20-Sep-2020
https://doi.org/10.1109/ITSC45102.2020.9294561
Inoue HKaji K(2019)A Smartphone Application that Automatically Provides Arrival Time based on Estimation of Train on Board2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU)10.23919/ICMU48249.2019.9006636(1-4)Online publication date: Nov-2019
https://doi.org/10.23919/ICMU48249.2019.9006636
Shin HHan DSong JKim MLane NBalan R(2019)Detecting Arrivals and Departure of Subway Train Using Linear Accelerometer (poster)Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services10.1145/3307334.3328635(580-581)Online publication date: 12-Jun-2019
https://dl.acm.org/doi/10.1145/3307334.3328635
Liu GLiu JLi FMa XChen YLiu H(2017)SubTrack: Enabling Real-Time Tracking of Subway Riding on Mobile Devices2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)10.1109/MASS.2017.55(90-98)Online publication date: Oct-2017
https://doi.org/10.1109/MASS.2017.55

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Beyond horizontal location context: measuring elevation using smartphone's barometer

Estimate a user's location using smartphone's barometer on a subway

Scalable floor localization using barometer on smartphone

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Beyond horizontal location context: measuring elevation using smartphone's barometer

Estimate a user's location using smartphone's barometer on a subway

Scalable floor localization using barometer on smartphone

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