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Road traffic estimation using in-situ acoustic sensing

Authors:

C. Viven Rajendra,

Purushottam KulkarniAuthors Info & Claims

SIGCOMM '10: Proceedings of the ACM SIGCOMM 2010 conference

Pages 431 - 432

https://doi.org/10.1145/1851182.1851247

Published: 30 August 2010 Publication History

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Abstract

In this paper, we explore the efficacy of curb-side acoustic sensing to estimate road traffic conditions. We formulated a set of hypotheses which attempted to correlate traffic conditions with the ambient traffic noise. We present the evaluation of our hypotheses under various traffic conditions. Our threshold-based-classification yields 70-90% accuracy in distinguishing congested from free-flowing traffic.

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Cited By

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Schulz AKarolus JJanssen FSchweizer I(2015)Accurate pollutant modeling and mapping: Applying machine learning to participatory sensing and urban topology data2015 International Conference and Workshops on Networked Systems (NetSys)10.1109/NetSys.2015.7089079(1-8)Online publication date: Mar-2015
https://doi.org/10.1109/NetSys.2015.7089079
王海(2014)The Fuzzy Evaluation of Urban Road Traffic Noise Impact on ResidentsOpen Journal of Acoustics and Vibration10.12677/OJAV.2014.2100102:01(1-9)Online publication date: 2014
https://doi.org/10.12677/OJAV.2014.21001
Nur KHasan MSaha P(2012)An automated urban traffic control system for heavy traffic congestion2012 7th International Conference on Electrical and Computer Engineering10.1109/ICECE.2012.6471585(454-457)Online publication date: Dec-2012
https://doi.org/10.1109/ICECE.2012.6471585

Index Terms

Road traffic estimation using in-situ acoustic sensing
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Signal processing systems

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Information & Contributors

Information

Published In

SIGCOMM '10: Proceedings of the ACM SIGCOMM 2010 conference

August 2010

500 pages

ISBN:9781450302012

DOI:10.1145/1851182

General Chairs:
Shiv Kalyanaraman
IBM Research, India
,
Venkat Padmanabhan
Microsoft Research, India
,
K. K. Ramakrishnan
IBM Research, India
,
Rajeev Shorey
NIIT University, India
,
Program Chairs:
K. K. Ramakrishnan
IBM Research, India
,
Geoffrey M. Voelker
University of California, San Diego, USA

ACM SIGCOMM Computer Communication Review Volume 40, Issue 4
SIGCOMM '10
October 2010
481 pages
ISSN:0146-4833
DOI:10.1145/1851275
Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 August 2010

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SIGCOMM '10

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SIGCOMM

SIGCOMM '10: ACM SIGCOMM 2010 Conference

August 30 - September 3, 2010

New Delhi, India

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Overall Acceptance Rate 462 of 3,389 submissions, 14%

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Cited By

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Schulz AKarolus JJanssen FSchweizer I(2015)Accurate pollutant modeling and mapping: Applying machine learning to participatory sensing and urban topology data2015 International Conference and Workshops on Networked Systems (NetSys)10.1109/NetSys.2015.7089079(1-8)Online publication date: Mar-2015
https://doi.org/10.1109/NetSys.2015.7089079
王海(2014)The Fuzzy Evaluation of Urban Road Traffic Noise Impact on ResidentsOpen Journal of Acoustics and Vibration10.12677/OJAV.2014.2100102:01(1-9)Online publication date: 2014
https://doi.org/10.12677/OJAV.2014.21001
Nur KHasan MSaha P(2012)An automated urban traffic control system for heavy traffic congestion2012 7th International Conference on Electrical and Computer Engineering10.1109/ICECE.2012.6471585(454-457)Online publication date: Dec-2012
https://doi.org/10.1109/ICECE.2012.6471585

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Road traffic estimation using in-situ acoustic sensing

MYRiAD: a multi-array room acoustic database

Mechanical Condition Determination of Vehicle and Traffic Density Estimation Using Acoustic Signals