USAGE OF IOT EDGE APPROACH FOR ROAD QUALITY ANALYSIS
Marcin Badurowicz
m.badurowicz@pollub.plLublin University of Technology, Faculty of Electrical Engineering and Computer Science, Department of Computer Science (Poland)
https://orcid.org/0000-0003-2249-4219
Sebastian Łagowski
Lublin University of Technology, Faculty of Electrical Engineering and Computer Science, Department of Computer Science (Poland)
Abstract
In the paper, the authors are presenting the analysis of implementation of IoT system of road quality analysis. The proposed system has been prepared with edge, on-device processing in mind, allowing for reduction of amount of data being sent to cloud computing aggregation subsystem, sending only 2.5% of the original data. Several algorithms for road quality analysis has been implemented on a real device and tested in a real-world conditions. The system has been compared to the state-of-the-art offline processing approach and shown very similar results.
Keywords:
road quality, internet of things, edge processingReferences
Astarita, V., Caruso, M. V., Danieli, G., Festa, D. C., Giofrè, V. P., Iuele, T., & Vaiana, R. (2012). A mobile application for road surface quality control: UNIquALroad. Procedia - Social and Behavioral Sciences, 54, 1135–1144. https://doi.org/10.1016/j.sbspro.2012.09.828
DOI: https://doi.org/10.1016/j.sbspro.2012.09.828
Google Scholar
Badurowicz, M., & Cieplak, T. (2019). Real-time road quality assessment using smartphones and cloud lambda architecture. MATEC Web of Conferences, 252, 03011. https://doi.org/10.1051/matecconf/201925203011
DOI: https://doi.org/10.1051/matecconf/201925203011
Google Scholar
Badurowicz, M., Cieplak, T., & Montusiewicz, J. (2016). The cloud computing stream analysis system for road artefacts detection. In P. Gaj, A. Kwiecień & P. Stera (Eds.), Computer Networks: 23rd International Conference, Proceedings (pp. 360–369). Springer International Publishing. https://doi.org/10.1007/978-3-319-39207-3_31
DOI: https://doi.org/10.1007/978-3-319-39207-3_31
Google Scholar
Badurowicz, M., Montusiewicz, J., & Karczmarek, P. (2020). Detection of road artefacts using fuzzy adaptive thresholding. 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp.1–8). IEEE. https://doi.org/10.1109/FUZZ48607.2020.9177822
DOI: https://doi.org/10.1109/FUZZ48607.2020.9177822
Google Scholar
Czerwinski, D., & Przylucki, S. (2016). Open-source microcontroller development board in wireless sensor networks classes. ICERI2016 Proceedings, 1, 2294–2300. https://doi.org/10.21125/iceri.2016.1504
DOI: https://doi.org/10.21125/iceri.2016.1504
Google Scholar
ESP32 Series Datasheet. (2023). Espressif Systems (Shanghal) https://www.espressif.com/sites/default/files/documentation/esp32_datasheet_en.pdf
Google Scholar
Generalna Dyrekcja Dróg Krajowych i Autostrad. (2022). Raport o stanie technicznym nawierzchni sieci dróg krajowych na koniec 2021 roku. https://www.gov.pl/web/gddkia/raport-o-stanie-technicznymnawierzchni-sieci-drog-krajowych-na-koniec-2021-roku
Google Scholar
Gonzalez, L. C., Moreno, R.., Escalante, H. J., Martinez, F., & Carlos, M. R. (2017). Learning roadway surface disruption patterns using the bag of words representation. IEEE Transactions on Intelligent Transportation Systems (pp. 1–13). IEEE. https://doi.org/10.1109/TITS.2017.2662483
DOI: https://doi.org/10.1109/TITS.2017.2662483
Google Scholar
Hart, M. (2022). TinyGPSPlus. https://github.com/mikalhart/TinyGPSPluskamami.pl. (2022). GY-GPS6MV2. https://kamami.pl/gps/563067-gy-gps6mv2-modul-gps-z-ukladem-u-blox-neo-6m.html
Google Scholar
Kono, A. (2020). MPU9250_asukiaaa. https://github.com/asukiaaa/MPU9250_asukiaaa
Google Scholar
Loprencipe, G., de Almeida Filho, F. G. V., de Oliveira, R. H., & Bruno, S. (2021). Validation of a low-cost pavement monitoring inertial-based system for urban road networks. Sensors, 21(9), 3127. https://doi.org/10.3390/s21093127
DOI: https://doi.org/10.3390/s21093127
Google Scholar
Mednis, A., Strazdins, G., Zviedris, R., Kanonirs, G., & Selavo, L. (2011). Real time pothole detection using android smartphones with accelerometers. 2011 International Conference on Distributed Computing in Sensor Systems and Workshops, DCOSS’11 (pp. 1-6). IEEE. https://doi.org/10.1109/DCOSS.2011.5982206
DOI: https://doi.org/10.1109/DCOSS.2011.5982206
Google Scholar
Mohan, P., Padmanabhan, V. N., & Ramjee, R. (2008). TrafficSense : Rich monitoring of road and traffic conditions using mobile smartphones. In The 6th ACM Conference on Embedded Networked Sensor Systems (pp. 1–29). The ACM Digital Library. https://doi.org/MSR-TR-2008-59
Google Scholar
Nguyen, V. K., Renault, É., & Ha, V. H. (2019). Road anomaly detection using smartphone: a brief analysis. Mobile, Secure, and Programmable Networking. MSPN 2018. Lecture Notes in Computer Science (vol. 11005). Springer. https://doi.org/10.1007/978-3-030-03101-5_8
DOI: https://doi.org/10.1007/978-3-030-03101-5_8
Google Scholar
Pérez, E., Araiza, J. C., Pozos, D., Bonilla, E., Hernández, J. C., & Cortes, J. A. (2021). Application for functionality and registration in the cloud of a microcontroller development board for IoT in AWS. Applied Computer Science, 17(2), 14–27. https://doi.org/10.23743/acs-2021-10
DOI: https://doi.org/10.35784/acs-2021-10
Google Scholar
Powiatowy Zarząd Dróg w Hrubieszowie. (2022). Ocena stanu technicznego dróg powiatowych powiatu hrubieszowskiego. https://www.starostwo.hrubieszow.pl/dat/attach/2022-04/31923_ad-10-ocena-stanutechnicznego-2021.pdf
Google Scholar
Singh, G., Bansal, D., Sofat, S., & Aggarwal, N. (2017). Smart patrolling: An efficient road surface monitoring using smartphone sensors and crowdsourcing. Pervasive and Mobile Computing, 40, 71–88. https://doi.org/10.1016/j.pmcj.2017.06.002
DOI: https://doi.org/10.1016/j.pmcj.2017.06.002
Google Scholar
Vamsee, K. K. M., Vimalkumar, K., Vinodhini, R. E., & Archanaa, R. (2017). An early detection-warning system to identify speed breakers and bumpy roads using sensors in smartphones. International Journal of Electrical and Computer Engineering, 7(3), 1377–1384. https://doi.org/10.11591/ijece.v7i3.pp1377-1384
DOI: https://doi.org/10.11591/ijece.v7i3.pp1377-1384
Google Scholar
Authors
Marcin Badurowiczm.badurowicz@pollub.pl
Lublin University of Technology, Faculty of Electrical Engineering and Computer Science, Department of Computer Science Poland
https://orcid.org/0000-0003-2249-4219
Authors
Sebastian ŁagowskiLublin University of Technology, Faculty of Electrical Engineering and Computer Science, Department of Computer Science Poland
Statistics
Abstract views: 159PDF downloads: 98
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in Applied Computer Science are open-access and distributed under the terms of the Creative Commons Attribution 4.0 International License.
Most read articles by the same author(s)
- Stanisław SKULIMOWSKI, Jerzy MONTUSIEWICZ, Marcin BADUROWICZ, ENHANCING THE EFFICIENCY OF THE LEVENSHTEIN DISTANCE BASED HEURISTIC METHOD OF ARRANGING 2D APICTORIAL ELEMENTS FOR INDUSTRIAL APPLICATIONS , Applied Computer Science: Vol. 19 No. 4 (2023)
- Marcin BADUROWICZ, DETECTION OF SOURCE CODE IN INTERNET TEXTS USING AUTOMATICALLY GENERATED MACHINE LEARNING MODELS , Applied Computer Science: Vol. 18 No. 1 (2022)
Similar Articles
- Ferra Arik TRIDALESTARI, Hanung Nindito PRASETYO, THE EFFECT OF INFORMATION TECHNOLOGY AND ENTREPRENEURSHIP ON THE E-SERVICES QUALITY THAT HAVE AN IMPACT ON CUSTOMER VALUE: EVIDENCE FROM INDONESIA SMEs , Applied Computer Science: Vol. 19 No. 4 (2023)
- Sebastian CYGAN, Barbara BOROWIK, Bohdan BOROWIK, STREET LIGHTS INTELLIGENT SYSTEM, BASED ON THE INTERNET OF THINGS CONCEPT , Applied Computer Science: Vol. 14 No. 1 (2018)
- Hanan M. SHUKUR, Shavan ASKAR, Subhi R.M. ZEEBAREE, THE UTILIZATION OF 6G IN INDUSTRY 4.0 , Applied Computer Science: Vol. 20 No. 2 (2024)
- Lei Liu, Eric B. Blancaflor, Mideth Abisado, A LIGHTWEIGHT MULTI-PERSON POSE ESTIMATION SCHEME BASED ON JETSON NANO , Applied Computer Science: Vol. 19 No. 1 (2023)
- Zaid ALSAYGH, Zohair AL-AMEEN, CONTRAST ENHANCEMENT OF SCANNING ELECTRON MICROSCOPY IMAGES USING A NONCOMPLEX MULTIPHASE ALGORITHM , Applied Computer Science: Vol. 18 No. 2 (2022)
- Fernando Andrés CEVALLOS SALAS, DIGITAL NEWS CLASSIFICATION AND PUNCTUACTION USING MACHINE LEARNING AND TEXT MINING TECHNIQUES , Applied Computer Science: Vol. 20 No. 2 (2024)
- Zahid Zamir, CAN THE SYSTEM, INFORMATION, AND SERVICE QUALITIES IMPACT EMPLOYEE LEARNING, ADAPTABILITY, AND JOB SATISFACTION? , Applied Computer Science: Vol. 19 No. 1 (2023)
- Rafał WOJSZCZYK, VERIFICATION OF ACCURACY AND COST OF USE METHODS OF QUALITY ASSESSMENT OF IMPLEMENTATION OF DESIGN PATTERNS , Applied Computer Science: Vol. 15 No. 1 (2019)
- Stanisław BŁAWUCKI, Kazimierz ZALESKI, CONSTRUCTION AND TECHNOLOGICAL ANALYSIS OF THE BROACH BLADE SHAPE USING THE FINITE ELEMENT METHOD , Applied Computer Science: Vol. 13 No. 1 (2017)
- Krystyna MAZUREK-ŁOPACIŃSKA, Magdalena SOBOCIŃSKA, CREATING MARKETING KNOWLEDGE ABOUT THE CONSUMER IN THE CONTEXT OF THE DEVELOPMENT OF INTERNET TOOLS , Applied Computer Science: Vol. 13 No. 3 (2017)
You may also start an advanced similarity search for this article.
