| Issue |
MATEC Web Conf.
Volume 252, 2019
III International Conference of Computational Methods in Engineering Science (CMES’18)
|
|
|---|---|---|
| Article Number | 03011 | |
| Number of page(s) | 6 | |
| Section | Computational Artificial Intelligence | |
| DOI | https://doi.org/10.1051/matecconf/201925203011 | |
| Published online | 14 January 2019 | |
Real-Time Road Quality Assessment Using Smartphones and Cloud Lambda Architecture
1
Lublin University of Technology, Faculty of Electrical Engineering and Computer Science, Institute of Computer Science, Nadbystrzycka 36B, 20-618 Lublin, Poland
2
Lublin University of Technology, Faculty of Management, Nadbystrzycka 38A, 20-618 Lublin, Poland
* Corresponding author: m.badurowicz@pollub.pl
In this paper, the authors are proposing a computer system built in the cloud-computing fashion for the collection of data from smartphones to achieve a crowdsensing-based quality assessment of roads, as well as detection, identification, and assessment of road artefacts (potholes, speed bumps, etc). The proposed information processing methods were based on Lambda architecture and the integration of different types of crowdsourced data to finally calculate the singular value of the human-readable road quality. Finally, the prototype implementation of the system for gathering, processing, integration, and processing the road quality data is also presented.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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