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Using Geographic Information Systems and Smartphone-Based Vibration Data to Support Decision Making on Pavement Rehabilitation

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Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 610))

Abstract

This paper presents a data collecting process using smartphone-based accelerometer in association with geographic information systems (GIS) software to better manage pavement condition data and facilitate with decision making for maintenance and rehabilitation. The smartphone is equipped with an accelerometer (a mobile apps) could record 50 vibration data points per second in three direction (X, Y, and Z). The type of Traditional pavement survey is time-consuming and requires experienced technicians to travel along highway to visualize pavement conditions and record any failures. Combining vibration intensity data with a GIS platform can help public agencies with a strategic plan to prioritize maintenance schedules for both bike trails and highway roads. The objective of this paper is to (1) discuss the processes of vibration data analysis using a smartphone based accelerometer and to (2) demonstrate how to relate vibration intensity data to locate priority areas for immediate.

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Acknowledgements

The authors would like to express their gratitude to Ms. Amal Abdelaziz, Ms. Noor Alsadi, and Ms. Shahad Aloqaili for helping collect vibration data, analyzing data, and providing GIS maps. Their contributions to the research is much appreciated.

Author information

Authors and Affiliations

  1. Department of Civil Engineering, Construction Management, and Environmental Engineering, Northern Arizona University, PO Box 15600, Flagstaff, AZ, USA

    Chun-Hsing Ho & Anas Almonnieay

  2. President of Civil Sensing Systems Inc., 511 Casey Lane, Rockville, MD, 20850, USA

    Chieh-Ping Lai

Authors
  1. Chun-Hsing Ho
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  2. Chieh-Ping Lai
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  3. Anas Almonnieay
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Corresponding author

Correspondence to Chun-Hsing Ho .

Editor information

Editors and Affiliations

  1. INESC-ID,Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal

    Joao Paulo Carvalho

  2. LIP 6, Université Pierre et Marie Curie, Paris, France

    Marie-Jeanne Lesot

  3. School of Industrial Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands

    Uzay Kaymak

  4. IDMEC,Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal

    Susana Vieira

  5. LIP6, Université Pierre et Marie Curie, CNRS, Paris, France

    Bernadette Bouchon-Meunier

  6. Machine Intelligence Institute, Iona College, New Rochelle, New York, USA

    Ronald R. Yager

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© 2016 Springer International Publishing Switzerland

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Ho, CH., Lai, CP., Almonnieay, A. (2016). Using Geographic Information Systems and Smartphone-Based Vibration Data to Support Decision Making on Pavement Rehabilitation. In: Carvalho, J., Lesot, MJ., Kaymak, U., Vieira, S., Bouchon-Meunier, B., Yager, R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2016. Communications in Computer and Information Science, vol 610. Springer, Cham. https://doi.org/10.1007/978-3-319-40596-4_40

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  • DOI: https://doi.org/10.1007/978-3-319-40596-4_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40595-7

  • Online ISBN: 978-3-319-40596-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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