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    Browsing Journal of Computing in Civil Engineering by Issue Date

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        Multiobjective Optimization for Scaffolding Space Planning in Industrial Piping Construction Using Model-Based Simulation Programming 

        Haifeng Jin; Mohammad Nahangi; Paul M. Goodrum; Yongbo Yuan (ASCE, 1/1/2020 1)
        As the main type of temporary structures, scaffolding systems have a significant impact on labor productivity and project cost in construction, but the ability to provide space planning assistance for construction planners ...
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        Rebaselining Asset Data for Existing Facilities and Infrastructure 

        Hamid Abdirad; Carrie Sturts Dossick (ASCE, 1/1/2020 1)
        This paper introduces “rebaselining” as a workflow for collecting reliable and verifiable asset management data for existing facilities and infrastructure. Reporting on two action research case studies with two public ...
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        Evaluation of Preference- and Constraint-Sensitive Path Planning for Assisted Navigation in Indoor Building Environments 

        Bharadwaj R. K. Mantha; Carol C. Menassa; Vineet R. Kamat; Clive R. D’Souza (ASCE, 1/1/2020 1)
        Independent mobility in people with physical disabilities notably enhances their quality of life by allowing social inclusion and promoting self-esteem while reducing caregiver burden. Despite significant technological ...
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        Policy Analysis of Adaptive Traffic Signal Control Using Reinforcement Learning 

        Wade Genders; Saiedeh Razavi (ASCE, 1/1/2020 1)
        Previous research studies have successfully developed adaptive traffic signal controllers using reinforcement learning; however, few have focused on analyzing what specifically reinforcement learning does differently than ...
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        Vision-Based Framework for Automatic Progress Monitoring of Precast Walls by Using Surveillance Videos during the Construction Phase 

        Zhichen Wang; Qilin Zhang; Bin Yang; Tiankai Wu; Ke Lei; Binghan Zhang; Tenwei Fang (ASCE, 1/1/2021)
        Detecting and locating precast components to confirm and update components’ status information is the key to construction progress monitoring. There are several ways to collect the information of elements in construction ...
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        Synthesizing Pose Sequences from 3D Assets for Vision-Based Activity Analysis 

        Wilfredo Torres Calderon; Dominic Roberts; Mani Golparvar-Fard (ASCE, 1/1/2021)
        In recent years, computer vision algorithms have shown to effectively leverage visual data from jobsites for video-based activity analysis of construction equipment. However, earthmoving operations are restricted to site ...
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        Physiological Data Models to Understand the Effectiveness of Drone Operation Training in Immersive Virtual Reality 

        Md Nazmus Sakib; Theodora Chaspari; Amir H. Behzadan (ASCE, 1/1/2021)
        Data collection using unmanned aerial vehicles (UAVs) in construction and heavy civil projects is subject to compliance with strict operational rules and safety regulations. Both the US Federal Aviation Administration (FAA) ...
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        Model-Class Selection Using Clustering and Classification for Structural Identification and Prediction 

        Sai G. S. Pai; Masoud Sanayei; Ian F. C. Smith (ASCE, 1/1/2021)
        Structural identification using physics-based models and subsequent prediction have much potential to enhance civil infrastructure asset-management decision-making. Interpreting monitoring information in the presence of ...
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        Mobile Hyperspectral Imaging for Material Surface Damage Detection 

        Sameer Aryal; ZhiQiang Chen; Shimin Tang (ASCE, 1/1/2021)
        Many machine vision–based inspection methods aim to replace human-based inspection with an automated or highly efficient procedure. However, these machine-vision systems have not been endorsed entirely by civil engineers ...
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        Characterization of Vulnerability of Road Networks to Random and Nonrandom Disruptions Using Network Percolation Approach 

        Bahrulla Abdulla; Bjorn Birgisson (ASCE, 1/1/2021)
        This paper examines the vulnerability of road networks to two types of disruptions by modeling the percolation dynamics in road networks under different disruption scenarios. The objective of this paper is threefold: ...
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        Formalization of Occupant Feedback and Integration with BIM in Office Buildings 

        E. Ergen; B. Kula; G. Guven; D. Artan (ASCE, 1/1/2021)
        Occupant feedback is not effectively used in the facility management (FM) phase for operations and maintenance activities as well as retrofit and refurbishment investment decisions. One of the reasons is related to incomplete ...
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        Automatic Pavement Type Recognition for Image-Based Pavement Condition Survey Using Convolutional Neural Network 

        Guangwei Yang; Kelvin C. P. Wang; Joshua Qiang Li; Yue Fei; Yang Liu; Kamyar C. Mahboub; Allen A. Zhang (ASCE, 1/1/2021)
        Image-based systems are becoming popular to collect pavement condition data for pavement management activities. Pavement engineers define various distress categories based on pavement types. However, software solutions ...
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        Automated Object Manipulation Using Vision-Based Mobile Robotic System for Construction Applications 

        Khashayar Asadi; Varun R. Haritsa; Kevin Han; John-Paul Ore (ASCE, 1/1/2021)
        In the last decade, automated object manipulation for construction applications has received much attention. However, the majority of existing systems are situated in a fixed location. They are mostly static systems ...
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        Social Media Mining for Understanding Traffic Safety Culture in Washington State Using Twitter Data 

        Mohhammad Sujon; Fei Dai (ASCE, 1/1/2021)
        Traffic safety culture has emerged as a significant factor in support of the recognition of existing traffic safety policies and programs and as a contextual variable to describe high-risk behaviors of drivers. However, ...
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        UAS Point Cloud Accuracy Assessment Using Structure from Motion–Based Photogrammetry and PPK Georeferencing Technique for Building Surveying Applications 

        Jhonattan G. Martinez; Gilles Albeaino; Masoud Gheisari; Walter Volkmann; Luis F. Alarcón (ASCE, 1/1/2021)
        Construction researchers and professionals have shown increased interest and need to enhance the accuracy of unmanned aerial system (UAS)-generated point cloud data (PCD) and ideally improve this technology’s integration ...
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        Noise Reference Signal–Based Denoising Method for EDA Collected by Multimodal Biosensor Wearable in the Field 

        Gaang Lee; Byungjoo Choi; Houtan Jebelli; Changbum Ryan Ahn; SangHyun Lee (ASCE, 11/1/2020 )
        Since people in contemporary society spend most of their time interacting with the built environment, there is a growing need to thoroughly understand the quality of human–built environment interaction to improve quality ...
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        Video-Based Motion Trajectory Forecasting Method for Proactive Construction Safety Monitoring Systems 

        Shuai Tang; Mani Golparvar-Fard; Milind Naphade; Murali M. Gopalakrishna (ASCE, 11/1/2020 )
        Falls, struck-bys, and caught-in/betweens are among the most common types of fatal accidents on construction sites. Despite their significance, the majority of today’s accident prevention programs react passively to ...
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        Determining Ground Elevations Covered by Vegetation on Construction Sites Using Drone-Based Orthoimage and Convolutional Neural Network 

        Yuhan Jiang; Yong Bai; Sisi Han (ASCE, 11/1/2020 )
        Three-dimensional (3D) surveying of a construction site using an image-based method may produce incorrect ground elevation results at vegetation-covered regions, because the light rays are reflected on the surface of ...
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        Evaluating Routine Variability of Daily Activities in Smart Homes with Image Complexity Measures 

        Bogyeong Lee; Changbum Ryan Ahn; Prakhar Mohan; Theodora Chaspari; Hyun-Soo Lee (ASCE, 11/1/2020 )
        With the increasing trend of older adults living alone, an efficient and nonintrusive way to monitor these individuals’ mental health status is required for early diagnosis of mental disease (e.g., dementia). Because ...
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        3D Photogrammetry Point Cloud Segmentation Using a Model Ensembling Framework 

        Meida Chen; Andrew Feng; Kyle McCullough; Pratusha Bhuvana Prasad; Ryan McAlinden; Lucio Soibelman (ASCE, 11/1/2020 )
        The US Army is paying increased attention to the development of rapid three-dimensional (3D) reconstruction using photogrammetry and unmanned aerial vehicle (UAV) technologies for creating virtual environments and simulations ...

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