Cognitive-Based Crack Detection for Road Maintenance: An Integrated System in Cyber-Physical-Social Systems

Abstract

Effective road maintenance can not only achieve a balance between limited resources and long-term high-efficiency performance of road but also reduce the loss of life and property caused by road damage to vehicles and pedestrians. Due to the lack of a multidimensional dynamic monitoring system and enough extremely special data, the existing road maintenance system cannot accurately assess the road surface condition and provide timely early warning of sudden road damage. In this article, the M-RM system is proposed, that is, a metaverse-enabled road maintenance system based on cyber-physical-social systems (CPSSs), which fully utilizes the social and artificial system information of CPSS, as well as the simulation, monitoring, diagnosis and prediction functions of road systems in the virtual world of the metaverse. Then, in the road damage detection of system model in the virtual world, for the virtual data of the core assets of the metaverse, we propose an adaptive and information-preserving data augmentation (AIDA) algorithm-based nonclassical receptive field suppression and enhancement, an algorithm developed from human visual cognition. This algorithm enables the generation of a large amount of scarce fidelity data and avoids the introduced noise from impairing the performance of nonaugmented data. Finally, a crack detection algorithm named pay attention twice (PAT) is proposed, which uses the generated virtual data for training, and achieves secondary attention to high-frequency targets by fusing frequency-division convolution and mixed-domain attention mechanism. The detection performance of small targets in uncertain environments is enhanced. The metaverse system built in the current research can not only be used for road maintenance but also empower the traffic metaverse by using the traffic flow prediction module embedded in the algorithm.

Road Maintenance Planning of the Fier-Vlore Road Axis, based on the Assessment and Forecast of AADT and Los Service Level

“…Regular road maintenance and repair is also important to prevent damage to infrastructure [20]. However, in addition to investing in road maintenance, it is also important to look for alternative solutions to reduce the volume of traffic, such as the development of public transport, bicycle paths and pedestrian zones [21][22][23]. This can reduce pressure on roads and reduce the need for continuous expansion and repair of the road network.…”

Information Security in the Metaverse: A Systematic and Prospective Review

“…While not directly focused on security and privacy in the educational Metaverse, it highlights the importance of integrating cyber-physical-social systems to address practical challenges. This integration can also be applied in the context of the educational Metaverse to ensure data security and privacy, as well as the protection of sensitive information of students and educators (Fan, L, 2023).…”

Guest Editorial: Cyber–Physical–Social Intelligence: Toward Metaverse-Based Smart Societies of 6I and 6S

“…They have shown great potential to promote innovative development in all aspects of our lives. In transportation field, metaverse can help to simulate the full life-cycle of real transportation system, improve its controllability, flexibility, effectiveness, and reliability [4], [5], [6], as well as provide timely early warning of sudden road damage [7] and protect the privacy of all participants. Through better connecting all transportation participants and improve the efficiency of information exchange among them, the traffic operation efficiency and the safety of driving can be greatly improved, so as to improve the intelligence of real transportation system, and provide safe, efficient, and pleasant experience for humans.…”