Journal of Computing in Civil Engineering: Recent submissions
Now showing items 301-320 of 2320
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Vehicle Turn-Signal Detection for Automated Flagging Systems
(American Society of Civil Engineers, 2024)Flaggers are always required to work close to open traffic lanes. They may be hit by distracted, speeding, or intoxicated drivers, leading to injuries and fatalities. To protect them, the concept of an automated flagging ... -
Automated Identification of Pavement Structural Distress Using State-of-the-Art Object Detection Models and Nondestructive Testing
(ASCE, 2024/07/01)The rapid identification of structural damage in pavements remains a challenging issue. This paper proposes an automatic identification method that combines nondestructive testing, the ground penetrating radar (GPR), and ... -
Human Autonomy Teaming for ROV Shared Control
(ASCE, 2024/07/01)Remotely operated vehicle (ROV) is a widely used subsea vehicle in offshore oil and gas industries to assist in the development and inspection of offshore oil fields, given its agility, safety, and endurance. As the offshore ... -
Building “RoboAvatar”: Industry Foundation Classes–Based Digital Representation of Robots in the Built Environment
(ASCE, 2024/07/01)Digital representation of robots as Avatars, called “RoboAvatars,” is a premise for value-added construction applications such as simulation, layout design, and task planning. Existing RoboAvatars are described in data ... -
LaserDex: Improvising Spatial Tasks Using Deictic Gestures and Laser Pointing for Human–Robot Collaboration in Construction
(ASCE, 2024/05/01)In the context of the unstructured and fast-changing construction environment, the adaptability of robots to human improvisation is crucial. However, existing construction robots are limited in understanding spatial goals ... -
BIM Library Transplant: Bridging Human Expertise and Artificial Intelligence for Customized Design Detailing
(ASCE, 2024/03/01)This study introduces a framework for transplanting a building information modeling (BIM) library. Design detailing constitutes 50%–60% of the total design time, even within the BIM context. Previous studies have highlighted ... -
Adapting Public Annotated Data Sets and Low-Quality Dash Cameras for Spatiotemporal Estimation of Traffic-Related Air Pollution: A Transfer-Learning Approach
(ASCE, 2024/05/01)This study investigated the utilization of images collected from low-quality dash cameras on passenger vehicles for the estimation of traffic-related air pollution (TRAP). We conducted mobile monitoring along Taiwan Avenue, ... -
Deep-Learning Domain Adaptation to Improve Generalizability across Subjects and Contexts in Detecting Construction Workers’ Stress from Biosignals
(ASCE, 2024/05/01)Wearable biosensors, in conjunction with machine learning, have been employed to develop less invasive monitoring techniques for assessing stress among construction workers during fieldwork. However, existing techniques ... -
Assessing Trust in Construction AI-Powered Collaborative Robots Using Structural Equation Modeling
(ASCE, 2024/05/01)This study aimed to investigate the key technical and psychological factors that impact the architecture, engineering, and construction (AEC) professionals’ trust in collaborative robots (cobots) powered by artificial ... -
Computing in AEC Education: Hindsight, Insight, and Foresight
(ASCE, 2024/05/01)In the architecture, engineering, and construction (AEC) fields, computing and information technologies play an increasingly prevalent and complex role in day-to-day work. Consequently, educators must adjust and, in many ... -
From Scans to Parametric BIM: An Enhanced Framework Using Synthetic Data Augmentation and Parametric Modeling for Highway Bridges
(ASCE, 2024/05/01)Deep learning-based scan-to-building information models (BIMs) approaches have gained popularity in generating as-built BIMs for highway bridges. However, several critical challenges emerge. First, the acquisition of ... -
Human-Centric Artificial Intelligence of Things–Based Indoor Environment Quality Modeling Framework for Supporting Student Well-Being in Educational Facilities
(ASCE, 2024/03/01)Maintaining the quality of indoor environments in educational facilities is crucial for student comfort, health, well-being, and students’ learning performance. Current indoor environment maintenance practices and building ... -
Artificial Neural Network–Based Generative Design Optimization of the Energy Performance of Florida Single-Family Houses
(ASCE, 2024/03/01)The energy efficiency optimization of Florida’s residential buildings is essential for the reduction of fossil fuel consumption and greenhouse gas emissions. This optimization requires designers to accurately calculate the ... -
Developing a Machine-Learning Model to Predict Clash Resolution Options
(ASCE, 2024/03/01)Even with the utilization of software tools like Navisworks to automate clash detection, clash resolution in construction projects remains a slow and manual process. The reason is the meticulous nature of the process where ... -
Hyperparameter Optimization and Importance Ranking in Deep Learning–Based Crack Segmentation
(ASCE, 2024/03/01)Although deep convolutional neural networks (DCNNs) have been widely adopted for crack segmentation, they often demonstrate performance degradation on data with real-world complexities. To achieve consistent and accurate ... -
Convolutional Neural Network Approach for Vibration-Based Damage State Prediction in a Reinforced Concrete Building
(ASCE, 2024/03/01)Structural health monitoring (SHM) is critical in identifying the degradation of infrastructure systems to ensure structural integrity and safety. Vibration-based SHM approaches, including numerical-physics-based modeling ... -
Multilabel CNN Model for Asphalt Distress Classification
(ASCE, 2024/01/01)One of the most challenging tasks in pavement management and rehabilitation is to detect and classify different distress types from images collected during field surveys. In this paper, a multilabel convolutional neural ... -
A Framework for Generic Semantic Enrichment of BIM Models
(ASCE, 2024/01/01)The design intent and many meaningful semantics in building information modeling (BIM) models are often implicit, and some explicit semantics are lost during model exchanges. The missing information can be artificially ... -
Minimizing Carbon Emission of Prefabricated Reinforced Concrete T-Beams Using BIM and Two-Stage Metaheuristic Searching
(ASCE, 2024/01/01)As an essential sector of the construction industry, bridge construction produces a large amount of carbon dioxide and other greenhouse gases, greatly intensifying the global greenhouse effect. Prefabricated reinforced ... -
Systemwide Planning with a Branch-and-Price Algorithm for Pavement-Marking Assessment Data Collection via the Mobile Retroreflectivity Unit Routing Model
(ASCE, 2024/05/01)The visibility of pavement markings is one of the most critical factors for traffic safety, and a periodical assessment plan is crucial for maintaining this function. Traditional assessment methods, such as visual windshield ...