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Developing and validating an image processing algorithm for evaluating gravel road dust

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International Journal of Pavement Research and Technology Aims and scope Submit manuscript

Abstract

Daily traffic on arid gravel roads can easily generate dust. Dust emitted from gravel roads creates several problems such as aggravated asthma, breathing difficulties, reducing crop yields, and even death. Therefore, local agencies tend to track the dust amounts on the gravel roads in order to maintain them in good conditions. An accurate detection of dust amounts is very crucial in Gravel Roads Management System (GRMS). Data collection is considered as one of the main challenges facing local agencies due to budget constraints. This paper establishes a novel method for an automatic recognition of dust amounts on gravel roads. This algorithm, “Simple Dust Classification Algorithm”, uses images taken from smartphone application, “Road roid”, to classify dust amounts by using proprietary Digital Image Processing algorithms. A Dustometer device was used to validate the proposed algorithm. Dustometer measurements, supported by statistical analysis, demonstrate that the proposed algorithm achieves an outstanding dust amount classification accuracy. Hence, the proposed algorithm is a promising alternative to assist local agencies in data collection and maintenance planning.

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Acknowledgment

The authors gratefully acknowledge the generous financial support from the Mountain-Plains Consortium (MPC) for this study. Also, the authors would like gratefully acknowledge the contribution of Mr. Hans Jones in this study. All opinions, finding and results are solely those of the authors

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Authors and Affiliations

  1. Dept. of Civil and Architectural Engineering, University of Wyoming, 1000 E University Ave, Laramie, Wyoming, 82071, USA

    Omar Albatayneh

  2. Roadroid CEO/Inventor, Egnahemsgatan 5, 82735, Ljusdal, Sweden

    Lars Forslöf

  3. Wyoming Technology Transfer Center, Dept. of Civil and Architectural Engineering, University of Wyoming, 1000 E University Ave, Laramie, Wyoming, 82071, USA

    Khaled Ksaibati

Authors
  1. Omar Albatayneh
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  2. Lars Forslöf
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  3. Khaled Ksaibati
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Correspondence to Omar Albatayneh.

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Peer review under responsibility of Chinese Society of Pavement Engineering.

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Albatayneh, O., Forslöf, L. & Ksaibati, K. Developing and validating an image processing algorithm for evaluating gravel road dust. Int. J. Pavement Res. Technol. 12, 288–296 (2019). https://doi.org/10.1007/s42947-019-0035-y

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  • DOI: https://doi.org/10.1007/s42947-019-0035-y

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