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Automatic congestion detection and visualization using networked GPS unit data

Published: 19 March 2009 Publication History

Abstract

The goal of this work is to explore systems for the automatic determination of vehicle traffic congestion using GPS-enabled networked mobile phones. A location based data set is collected and analyzed. Additionally, sample filtering and route matching approaches are considered.

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P. Bellavista, A. Küpper, and S. Helal. Location-Based Services: Back to the Future. IEEE PERVASIVE COMPUTING, pages 85--89, 2008.
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J. Foley and A. Van Dam. Fundamentals of interactive computer graphics. Addison-Wesley Longman Publishing Co., Inc. Boston, MA, USA, 1982.
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R. Kalman. A new approach to linear filtering and prediction problems. Journal of Basic Engineering, 82(1):35--45, 1960.
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T. Nakata and J. Takeuchi. Mining traffic data from probe-car system for travel time prediction. In Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, pages 817--822. ACM New York, NY, USA, 2004.
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C. Processes, H. Dragon, M. Shift, R. Colussi, R. Factor, and T. Factor. Dictionary of Algorithms and Data Structures.
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J. Rice and E. van Zwet. A simple and effective method for predicting travel times on freeways. Intelligent Transportation Systems, IEEE Transactions on, 5(3):200--207, 2004.
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M. Segal and K. Akeley. The OpenGL Graphics System: A Specification (Version 2.0). Jon Leech and Pat Brown, 2004.

Cited By

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  • (2022)Integrated Sensor-Based Approach for Traffic Congestion Prediction Using Probe VehicleRecent Trends in Civil Engineering10.1007/978-981-19-4055-2_64(821-833)Online publication date: 4-Oct-2022
  • (2014)Road scene analysis for determination of road traffic densityFrontiers of Computer Science: Selected Publications from Chinese Universities10.1007/s11704-014-3156-08:4(619-628)Online publication date: 1-Aug-2014
  • (2012)VANET-based privacy preserving scheme for detecting traffic congestionHigh Capacity Optical Networks and Emerging/Enabling Technologies10.1109/HONET.2012.6421436(066-071)Online publication date: Dec-2012

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  1. Automatic congestion detection and visualization using networked GPS unit data

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    cover image ACM Other conferences
    ACMSE '09: Proceedings of the 47th annual ACM Southeast Conference
    March 2009
    430 pages
    ISBN:9781605584218
    DOI:10.1145/1566445
    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

    Publication History

    Published: 19 March 2009

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    • Research-article

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    ACM SE 09
    ACM SE 09: ACM Southeast Regional Conference
    March 19 - 21, 2009
    South Carolina, Clemson

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    Overall Acceptance Rate 502 of 1,023 submissions, 49%

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    View all
    • (2022)Integrated Sensor-Based Approach for Traffic Congestion Prediction Using Probe VehicleRecent Trends in Civil Engineering10.1007/978-981-19-4055-2_64(821-833)Online publication date: 4-Oct-2022
    • (2014)Road scene analysis for determination of road traffic densityFrontiers of Computer Science: Selected Publications from Chinese Universities10.1007/s11704-014-3156-08:4(619-628)Online publication date: 1-Aug-2014
    • (2012)VANET-based privacy preserving scheme for detecting traffic congestionHigh Capacity Optical Networks and Emerging/Enabling Technologies10.1109/HONET.2012.6421436(066-071)Online publication date: Dec-2012

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