Using geographic information systems and smartphone-based vibration data to support decision making on pavement rehabilitation

Chun-Hsing Ho; Chieh Ping Lai; Anas Almonnieay

doi:10.1007/978-3-319-40596-4_40

Using geographic information systems and smartphone-based vibration data to support decision making on pavement rehabilitation

Chun-Hsing Ho, Chieh Ping Lai, Anas Almonnieay

Civil Engineering, Construction Management, and Environmental Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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.

Original language	English (US)
Title of host publication	Information Processing and Management of Uncertainty in Knowledge-Based Systems - 16th International Conference, IPMU 2016, Proceedings
Editors	Susana Vieira, Uzay Kaymak, Joao Paulo Carvalho, Marie-Jeanne Lesot, Bernadette Bouchon-Meunier, Ronald R. Yager
Publisher	Springer-Verlag
Pages	475-485
Number of pages	11
ISBN (Print)	9783319405957
DOIs	https://doi.org/10.1007/978-3-319-40596-4_40
State	Published - 2016
Event	16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2016 - Eindhoven, Netherlands Duration: Jun 20 2016 → Jun 24 2016

Publication series

Name	Communications in Computer and Information Science
Volume	610
ISSN (Print)	1865-0929

Other

Other	16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2016
Country/Territory	Netherlands
City	Eindhoven
Period	6/20/16 → 6/24/16

Keywords

Accelerometers
Geographic information systems
Mobile apps
Smartphones
Vibration

ASJC Scopus subject areas

General Computer Science
General Mathematics

Access to Document

10.1007/978-3-319-40596-4_40

Cite this

Ho, C.-H., Lai, C. P., & Almonnieay, A. (2016). Using geographic information systems and smartphone-based vibration data to support decision making on pavement rehabilitation. In S. Vieira, U. Kaymak, J. P. Carvalho, M.-J. Lesot, B. Bouchon-Meunier, & R. R. Yager (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems - 16th International Conference, IPMU 2016, Proceedings (pp. 475-485). (Communications in Computer and Information Science; Vol. 610). Springer-Verlag. https://doi.org/10.1007/978-3-319-40596-4_40

Using geographic information systems and smartphone-based vibration data to support decision making on pavement rehabilitation. / Ho, Chun-Hsing; Lai, Chieh Ping; Almonnieay, Anas.
Information Processing and Management of Uncertainty in Knowledge-Based Systems - 16th International Conference, IPMU 2016, Proceedings. ed. / Susana Vieira; Uzay Kaymak; Joao Paulo Carvalho; Marie-Jeanne Lesot; Bernadette Bouchon-Meunier; Ronald R. Yager. Springer-Verlag, 2016. p. 475-485 (Communications in Computer and Information Science; Vol. 610).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ho, C-H, Lai, CP & Almonnieay, A 2016, Using geographic information systems and smartphone-based vibration data to support decision making on pavement rehabilitation. in S Vieira, U Kaymak, JP Carvalho, M-J Lesot, B Bouchon-Meunier & RR Yager (eds), Information Processing and Management of Uncertainty in Knowledge-Based Systems - 16th International Conference, IPMU 2016, Proceedings. Communications in Computer and Information Science, vol. 610, Springer-Verlag, pp. 475-485, 16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2016, Eindhoven, Netherlands, 6/20/16. https://doi.org/10.1007/978-3-319-40596-4_40

Ho CH, Lai CP, Almonnieay A. Using geographic information systems and smartphone-based vibration data to support decision making on pavement rehabilitation. In Vieira S, Kaymak U, Carvalho JP, Lesot MJ, Bouchon-Meunier B, Yager RR, editors, Information Processing and Management of Uncertainty in Knowledge-Based Systems - 16th International Conference, IPMU 2016, Proceedings. Springer-Verlag. 2016. p. 475-485. (Communications in Computer and Information Science). doi: 10.1007/978-3-319-40596-4_40

Ho, Chun-Hsing ; Lai, Chieh Ping ; Almonnieay, Anas. / Using geographic information systems and smartphone-based vibration data to support decision making on pavement rehabilitation. Information Processing and Management of Uncertainty in Knowledge-Based Systems - 16th International Conference, IPMU 2016, Proceedings. editor / Susana Vieira ; Uzay Kaymak ; Joao Paulo Carvalho ; Marie-Jeanne Lesot ; Bernadette Bouchon-Meunier ; Ronald R. Yager. Springer-Verlag, 2016. pp. 475-485 (Communications in Computer and Information Science).

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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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AB - 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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Using geographic information systems and smartphone-based vibration data to support decision making on pavement rehabilitation

Abstract

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Keywords

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