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Research Article
Deep Learning-based Prediction of Lifespan Degradation in Concrete Bridges Due to Iron Oxidation
Hetkumar Patel
,
Wisam Bukaita*
Issue:
Volume 10, Issue 5, October 2025
Pages:
96-108
Received:
2 September 2025
Accepted:
13 September 2025
Published:
26 September 2025
Abstract: This study presents a comprehensive multimodal deep learning framework for predicting lifespan degradation in concrete bridges caused by iron oxidation. The proposed system integrates YOLOv8 for surface-level crack detection and ResNet50 for deep image feature extraction, combined with structurally significant tabular data such as crack geometry, material composition, environmental factors, and corrosion indicators. Addressing limitations in current approaches-including dataset scarcity, lack of multimodal integration, and high cost of sensor-based inspection-the framework employs a hybrid architecture to estimate three critical outputs: degradation score, condition class, and remaining life of the bridge. To overcome data limitations, synthetic tabular features were generated using AI-based simulations aligned with visual inputs. The system was trained with extensive resources: 200 epochs for YOLOv8 and 50+ epochs for the tabular model, followed by k-fold cross-validation (MAE: 3.48, R²: 0.89) to validate generalization. Despite challenges in detection accuracy (mAP@0.5: 0.0101), the classification component achieved an AUC of 0.98, confirming robustness in condition prediction. Comparative evaluations demonstrate that YOLOv8 and ResNet50 provide the best trade-off between accuracy, efficiency, and deployment readiness. The proposed model, further enhanced with attention mechanisms and future transformer-based extensions, offers a scalable, low-cost alternative to traditional sensor-driven monitoring and contributes to more proactive, data-driven maintenance of aging bridge infrastructure.
Abstract: This study presents a comprehensive multimodal deep learning framework for predicting lifespan degradation in concrete bridges caused by iron oxidation. The proposed system integrates YOLOv8 for surface-level crack detection and ResNet50 for deep image feature extraction, combined with structurally significant tabular data such as crack geometry, m...
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Research Article
Analytical Study of Efficiency of Smart Ports
Hossain Khandakar Akhter*
Issue:
Volume 10, Issue 5, October 2025
Pages:
109-119
Received:
13 July 2025
Accepted:
31 July 2025
Published:
26 September 2025
Abstract: Ports serve as vital hubs for global trade, facilitating the import and export of a vast range of commodities. As the primary interface between nations, ports are integral to the worldwide economy, with over 75% of the world’s trade by value passing through them. Today, ports are regarded as essential capital infrastructure, closely connected with a broad spectrum of economic activities.Smart ports are increasingly transitioning into automated facilities, leveraging advanced digital technologies to boost operational efficiency, transparency, sustainability, and overall competitiveness. These smart and automated ports integrate tools such as sensors, big data analytics, artificial intelligence (AI), machine learning (ML), deep learning (DL), augmented reality (AR), digital twins, and various automation systems to restructure cargo movement, minimize environmental impact, and offer improved services to stakeholdersincluding shipping companies, customs agencies, local communities, and other relevant parties.Furthermore, smart ports often incorporate eco-friendly features such as renewable energy sources, electric vehicle charging stations, onshore power supply, and smart logistics infrastructure. These innovations significantly boost the functionality and responsiveness of port operations, thereby playing a critical role in strengthening national competitiveness.The objective of this study is to develop a conceptual framework to evaluate the effectiveness of smart port in the context of technological advancement. Smart ports will be narrated in contest of how they are utilizing cutting-edge technologies such as AI, ML, DL, blockchain, and data science to enhance efficiency, optimize operations, and maximize profitability. It is an analytical study of smart port.
Abstract: Ports serve as vital hubs for global trade, facilitating the import and export of a vast range of commodities. As the primary interface between nations, ports are integral to the worldwide economy, with over 75% of the world’s trade by value passing through them. Today, ports are regarded as essential capital infrastructure, closely connected with ...
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Research Article
Road Safety in Numbers: Using Data to Illustrate the Nepal’s Scenarios
Issue:
Volume 10, Issue 5, October 2025
Pages:
120-134
Received:
20 September 2025
Accepted:
30 September 2025
Published:
31 October 2025
DOI:
10.11648/j.ajtte.20251005.13
Downloads:
Views:
Abstract: Road Safety is one of the critical issues globally Nepal, with rapid unplanned urbanization and growing road networks, has seen a tremendous rise in road casualties in road accidents. This study is an attempt to reveal the existing road safety situations of Nepal. Using the national dataset gathered by Nepal Government, this study examines the evolving road safety challenges of Nepal, focusing on vulnerable road users (VRUs) and systemic gaps. Using multi-year crash data from 2001 to 2024 and statistical analyses, it reveals that motorcycles account for over 50% of traffic crashes with young and middle-aged male drivers facing the highest fatality rates. Similarly, correlation analyses and severity index show that the vulnerability associated with two and three-wheelers is prevalent with instability and limited inbuilt safety features, whereas male above 25 years consistently followed by children below 6 years age are VRUs in Nepal. Early licensing, limited driver training and weak enforcement contribute to high crash involvement among youth. Pillion riders especially female remain at high risk due to low helmet use and lack of regulation. Child fatalities, proportionally lower than other groups, are linked to preventable conditions such as unsafe pedestrian zones and poor protective measures. The outdated transportation acts, absence of spatial crash data and poor local enforcement hinder targeted interventions. Furthermore, lack of proper road design and construction standards and practices, no road safety audit and safety inspection, little-to-zero communication campaigns on road safety, implementation gaps on road safety actions plans with adequate budget and institutional arrangement have exacerbated the road incidents in the country.
Abstract: Road Safety is one of the critical issues globally Nepal, with rapid unplanned urbanization and growing road networks, has seen a tremendous rise in road casualties in road accidents. This study is an attempt to reveal the existing road safety situations of Nepal. Using the national dataset gathered by Nepal Government, this study examines the evol...
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