research-article

Cooperative transit tracking using smart-phones

Authors:

Arvind Thiagarajan,

James Biagioni,

Jakob ErikssonAuthors Info & Claims

SenSys '10: Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems

Pages 85 - 98

https://doi.org/10.1145/1869983.1869993

Published: 03 November 2010 Publication History

Abstract

Real-time transit tracking is gaining popularity as a means for transit agencies to improve the rider experience. However, many transit agencies lack either the funding or initiative to provide such tracking services. In this paper, we describe a crowd-sourced alternative to official transit tracking, which we call cooperative transit tracking.

Participating users install an application on their smart-phone. With the help of built-in sensors, such as GPS, WiFi, and accelerometer, the application automatically detects when the user is riding in a transit vehicle. On these occasions (and only these), it sends periodic, anonymized, location updates to a central tracking server.

Our technical contributions include (a) an accelerometer-based activity classification algorithm for determining whether or not the user is riding in a vehicle, (b) a memory and time-efficient route matching algorithm for determining whether the user is in a bus vs. another vehicle, (c) a method for tracking underground vehicles, and an evaluation of the above on real-world data.

By simulating the Chicago transit network, we find that the proposed system would shorten expected wait times by 2 minutes with only 5% of transit riders using the system. At a 20% penetration level, the mean wait time is reduced from 9 to 3 minutes.

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https://doi.org/10.1109/ACCESS.2024.3458983
Galimberti G(2023)On the independent and sustainable mobility of people with visual impairmentsProceedings of the 20th International Web for All Conference10.1145/3587281.3587705(158-161)Online publication date: 30-Apr-2023
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Index Terms

Cooperative transit tracking using smart-phones
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems

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Published In

cover image ACM Conferences

SenSys '10: Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems

November 2010

461 pages

ISBN:9781450303446

DOI:10.1145/1869983

General Chair:
Jan Beutel
ETH Zurich, Switzerland
,
Program Chairs:
Deepak Ganesan
University of Massachusetts, Amherst
,
Jack Stankovic
University of Virginia

Copyright © 2010 ACM.

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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Published: 03 November 2010

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SenSys10: The 8th ACM Conference on Embedded Network Sensor Systems

November 3 - 5, 2010

Zürich, Switzerland

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Overall Acceptance Rate 174 of 867 submissions, 20%

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https://doi.org/10.1109/ACCESS.2024.3458983
Galimberti G(2023)On the independent and sustainable mobility of people with visual impairmentsProceedings of the 20th International Web for All Conference10.1145/3587281.3587705(158-161)Online publication date: 30-Apr-2023
https://dl.acm.org/doi/10.1145/3587281.3587705
Hosseini SGentile GVarghese KMiristice L(2023)Inferring Station Numbers in Metro Trips Using Mobile Magnetometer Sensor via an Unsupervised K-means Clustering Algorithm2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)10.1109/MT-ITS56129.2023.10241558(1-6)Online publication date: 14-Jun-2023
https://doi.org/10.1109/MT-ITS56129.2023.10241558
Sumathi SSoms NGowtham SPagalavan MHariharan S(2023)Crowd Estimation Using Sensors for Public Transport (BUSES)2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS)10.1109/ICCAMS60113.2023.10525859(1-8)Online publication date: 27-Oct-2023
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