Abstract
Smart Cities require the deployment of sensing technology that periodically monitor the city resources, such as the road infrastructure. Indeed, road maintenance is considered a key element for city management. Here, we propose an in-vehicle optical monitoring system that classifies and monitors road conditions. The system consists of three main modules allowing road-condition sensing, geospatial localization, information storage and classification. The road-condition classification algorithm is not only capable of identifying potholes and bumps on the road but also of showing the degree of road damage to guide city authorities to design strategic road maintenance.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Schnebele, E., Tanyu, B.F., Cervone, G., Waters, N.: Review of remote sensing methodologies for pavement management and assessment. Eur. Transp. Res. Rev. 7, 7 (2015). https://doi.org/10.1007/s12544-015-0156-6
Koch, C., Brilakis, I.: Pothole detection in asphalt pavement images. Adv. Eng. Inform. 25, 507–515 (2011). https://doi.org/10.1016/j.aei.2011.01.002
Yu, X., Salari, E.: Pavement pothole detection and severity measurement using laser imaging. In: IEEE International Conference on Electro/Information Technology, pp. 1–5 (2011). https://doi.org/10.1109/EIT.2011.5978573
Jo, Y., Ryu, S.: Pothole detection system using a black-box camera. Sensors (Basel) 15, 29316–29331 (2015). https://doi.org/10.3390/s151129316
Eriksson, J., Girod, L., Hull, B., Newton, R., Madden, S., Balakrishnan, H.: The pothole patrol: using a mobile sensor network for road surface monitoring. In: Proceedings of the 6th International Conference on Mobile Systems, Applications, and Services, pp. 29–39. Association for Computing Machinery, Breckenridge (2008). https://doi.org/10.1145/1378600.1378605
Burgart, S.: Gap Trap: A Pothole Detection and Reporting System Utilizing Mobile Devices (2014)
Jog, G.M., Koch, C., Golparvar-Fard, M., Brilakis, I.: Pothole properties measurement through visual 2D recognition and 3D reconstruction. In: Computing in Civil Engineering, pp. 553–560 (2012). https://doi.org/10.1061/9780784412343.0070
Kim, T., Ryu, S.-K.: A guideline for pothole classification. Int. J. Eng. Technol. 4, 618–622 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Kassem, D., Arce-Lopera, C. (2021). Road-Condition Monitoring and Classification for Smart Cities. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1213. Springer, Cham. https://doi.org/10.1007/978-3-030-51328-3_60
Download citation
DOI: https://doi.org/10.1007/978-3-030-51328-3_60
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-51327-6
Online ISBN: 978-3-030-51328-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)