research-article

A Wireless-Based Approach for Transit Analytics

Authors:

Suman BanerjeeAuthors Info & Claims

HotMobile '16: Proceedings of the 17th International Workshop on Mobile Computing Systems and Applications

Pages 75 - 80

https://doi.org/10.1145/2873587.2873589

Published: 23 February 2016 Publication History

Abstract

We propose Trellis --- an in-vehicle WiFi-based tracking system that passively observes mobile devices and provides various analytics for transit operators. Our infrastructure is fairly low-cost and can be a complementary, yet efficient, mechanism by which such operators collect various information, e.g., popular original-destination stations of passengers, waiting times of passengers at stations, occupancy of vehicles, and more. A key challenge in our system is to efficiently determine which device is actually inside (or outside) of a transit vehicle, which we are able to address through contextual information. While our current system cannot provide accurate actual numbers of passengers, we expect the relative numbers and general trends to be still fairly useful from an analytics perspective. We have deployed a preliminary version of Trellis on two city buses in Madison, WI, and report on some general observations on transit efficiency over a period of four months.

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Cited By

Madsen TSchwefel HMikkelsen LBurggraf A(2022)Comparison of WLAN Probe and Light Sensor-Based Estimators of Bus Occupancy Using Live Deployment DataSensors10.3390/s2211411122:11(4111)Online publication date: 28-May-2022
https://doi.org/10.3390/s22114111
Grgurević IJuršić KRajič V(2022)Overview of Wi-Fi-Based Automatic Passenger Counting Solutions in Public Urban TransportSustainable Management of Manufacturing Systems in Industry 4.010.1007/978-3-030-90462-3_12(181-196)Online publication date: 1-Feb-2022
https://doi.org/10.1007/978-3-030-90462-3_12
Mccarthy CMoser IJayaraman PGhaderi HTan AYavari AMehmood USimmons MWeizman YGeorgakopoulos DFuss FDia H(2021)A Field Study of Internet of Things-Based Solutions for Automatic Passenger CountingIEEE Open Journal of Intelligent Transportation Systems10.1109/OJITS.2021.31110522(384-401)Online publication date: 2021
https://doi.org/10.1109/OJITS.2021.3111052
Show More Cited By

Index Terms

A Wireless-Based Approach for Transit Analytics
1. Networks
  1. Network types
    1. Mobile networks

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cover image ACM Conferences

HotMobile '16: Proceedings of the 17th International Workshop on Mobile Computing Systems and Applications

February 2016

120 pages

ISBN:9781450341455

DOI:10.1145/2873587

General Chair:
David Chu
Microsoft Research - Redmond WA, USA
,
Program Chair:
Prabal Dutta
University of Michigan, USA

Copyright © 2016 ACM.

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 February 2016

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US National Science Foundation

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HotMobile '16

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SIGMOBILE

HotMobile '16: The 17th International Workshop on Mobile Computing Systems and Applications

February 23 - 24, 2016

Florida, St. Augustine, USA

Acceptance Rates

HotMobile '16 Paper Acceptance Rate 18 of 55 submissions, 33%;

Overall Acceptance Rate 96 of 345 submissions, 28%

Upcoming Conference

HOTMOBILE '25

Sponsor:
sigmobile

The 26th International Workshop on Mobile Computing Systems and Applications

February 26 - 27, 2025

La Quinta , CA , USA

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Cited By

Madsen TSchwefel HMikkelsen LBurggraf A(2022)Comparison of WLAN Probe and Light Sensor-Based Estimators of Bus Occupancy Using Live Deployment DataSensors10.3390/s2211411122:11(4111)Online publication date: 28-May-2022
https://doi.org/10.3390/s22114111
Grgurević IJuršić KRajič V(2022)Overview of Wi-Fi-Based Automatic Passenger Counting Solutions in Public Urban TransportSustainable Management of Manufacturing Systems in Industry 4.010.1007/978-3-030-90462-3_12(181-196)Online publication date: 1-Feb-2022
https://doi.org/10.1007/978-3-030-90462-3_12
Mccarthy CMoser IJayaraman PGhaderi HTan AYavari AMehmood USimmons MWeizman YGeorgakopoulos DFuss FDia H(2021)A Field Study of Internet of Things-Based Solutions for Automatic Passenger CountingIEEE Open Journal of Intelligent Transportation Systems10.1109/OJITS.2021.31110522(384-401)Online publication date: 2021
https://doi.org/10.1109/OJITS.2021.3111052
Wang YZhang WTang TWang DLiu Z(2021)Bus OD matrix reconstruction based on clustering Wi-Fi probe dataTransportmetrica B: Transport Dynamics10.1080/21680566.2021.195638810:1(864-879)Online publication date: 23-Jul-2021
https://doi.org/10.1080/21680566.2021.1956388
Mukherji ARaghuram VPandey STran HBulusu N(2019)CommuterScanner: Towards Smart Indoor Positioning Systems in Urban Transportation2019 11th International Conference on Communication Systems & Networks (COMSNETS)10.1109/COMSNETS.2019.8711465(619-624)Online publication date: Jan-2019
https://doi.org/10.1109/COMSNETS.2019.8711465
Liu ZWang YLiu SLiu ZLi G(2019)Overview of Studies on the Wi-Fi Probe Data Analysis for Transport ProblemsCICTP 201910.1061/9780784482292.512(5961-5972)Online publication date: 2-Jul-2019
https://doi.org/10.1061/9780784482292.512
Mikkelsen LSchwefel HMadsen T(2018)Sensing Quality and Estimation of Public Transport Occupancy During Live Operation2018 IEEE 17th International Symposium on Network Computing and Applications (NCA)10.1109/NCA.2018.8548319(1-4)Online publication date: Nov-2018
https://doi.org/10.1109/NCA.2018.8548319
Qi BKang LBanerjee SZhang JChiang MMaggs B(2017)A vehicle-based edge computing platform for transit and human mobility analyticsProceedings of the Second ACM/IEEE Symposium on Edge Computing10.1145/3132211.3134446(1-14)Online publication date: 12-Oct-2017
https://dl.acm.org/doi/10.1145/3132211.3134446
Das APathak PJee JChuah CMohapatra P(2017)Non-Intrusive Multi-Modal Estimation of Building OccupancyProceedings of the 15th ACM Conference on Embedded Network Sensor Systems10.1145/3131672.3131680(1-14)Online publication date: 6-Nov-2017
https://dl.acm.org/doi/10.1145/3131672.3131680
Meng RGromling DChoudhury RNelakuditi S(2016)RideSense: Towards ticketless transportation2016 IEEE Vehicular Networking Conference (VNC)10.1109/VNC.2016.7835965(1-8)Online publication date: Dec-2016
https://doi.org/10.1109/VNC.2016.7835965

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