A Smartphone-Based Image Analysis Technique for Ballast Aggregates

Bin Zhang, Seung Jae Lee, Yu Qian, Erol Tutumluer, Sumana Bhattacharya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Ballast is an essential layer of railroad substructure that facilitates drainage and load distribution and is constantly subjected repeated train loadings. Both size distribution and morphological properties of the ballast aggregates therefore impact significantly the overall performance of railway track substructure in terms of strength, modulus and permanent deformation. It is crucial to have reliable inspection methods that can quantitatively assess the ballast condition with respect to the aggregate size and shape properties as part of ballasted track design and maintenance strategies. This paper introduces a prototype of non-intrusive track ballast inspection system based on smartphone platform such that engineer or inspector can take photos of ballast aggregates with a smartphone-like mobile device to assess the ballast condition. The analyses are performed based on cloud-based photogrammetry processing, which is enabled by (1) cloud computing server (for image processing and analyses of the aggregate photos) and (2) smartphone (to take photos of ballast aggregate and communicate with the server by sending the photos and receiving the analysis results) or similar mobile device. The system utilizes mobile device hardware, i.e., built-in camera and global positioning system (GPS), to add location and time information into fetched ballast aggregate images, analyzes size and shape properties and evaluates ballast condition. All collected data are entered in a database in the cloud computing server such that the engineers can exploit the spatial-Temporal information as well as the analyzed ballast aggregate condition whenever needed. The initial results with the ballast inspection system are presented in this paper to demonstrate its certain significant advantages over the commonly used ballast inspection techniques.

Original languageEnglish (US)
Title of host publicationInternational Conference on Transportation and Development 2016
Subtitle of host publicationProjects and Practices for Prosperity - Proceedings of the 2016 International Conference on Transportation and Development
EditorsKelvin C. P. Wang
PublisherAmerican Society of Civil Engineers (ASCE)
Pages623-630
Number of pages8
ISBN (Electronic)9780784479926
DOIs
StatePublished - Jan 1 2016
EventInternational Conference on Transportation and Development 2016: Projects and Practices for Prosperity - Houston, United States
Duration: Jun 26 2016Jun 29 2016

Publication series

NameInternational Conference on Transportation and Development 2016: Projects and Practices for Prosperity - Proceedings of the 2016 International Conference on Transportation and Development

Other

OtherInternational Conference on Transportation and Development 2016: Projects and Practices for Prosperity
CountryUnited States
CityHouston
Period6/26/166/29/16

Keywords

  • Aggregate
  • Ballast
  • Cloud computing.
  • Image analysis
  • Inspection
  • Size and shape properties
  • Smartphone

ASJC Scopus subject areas

  • Transportation
  • Civil and Structural Engineering
  • Mechanics of Materials
  • Safety, Risk, Reliability and Quality
  • Geography, Planning and Development

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  • Cite this

    Zhang, B., Lee, S. J., Qian, Y., Tutumluer, E., & Bhattacharya, S. (2016). A Smartphone-Based Image Analysis Technique for Ballast Aggregates. In K. C. P. Wang (Ed.), International Conference on Transportation and Development 2016: Projects and Practices for Prosperity - Proceedings of the 2016 International Conference on Transportation and Development (pp. 623-630). (International Conference on Transportation and Development 2016: Projects and Practices for Prosperity - Proceedings of the 2016 International Conference on Transportation and Development). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784479926.057