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Jesus M. de la Garza, Ignaci Roca, Jennifer Sparrow

Visualization of Failed Highway Assets Through Geo-Coded Pictures in Google Earth and Google Maps

Abstract: The Virginia Department of Transportation (VDOT) has adopted an innovative highway asset management program known as Performance-Based Road Maintenance. Under the Virginia Tech-VDOT Partnership for Highway Maintenance Monitoring Programs, Virginia Tech’s Center for Highway Asset Management Programs provides independent assessment and technical leadership to support innovations in highway maintenance contracting and asset management practices. In the past, VDOT’s only way of checking a failed asset item was to go out to the field. This was very time consuming, especially if the assets were numerous or far apart. Moreover, it was often difficult to locate a specific asset item failure in a given segment. In other cases, finding the failure was impossible, since the condition of some asset items can change in a short span of time. This paper presents the development of a comprehensive system to display pictures of failed asset items. The major contribution of this system is to provide VDOT a tool to check any failed asset item from any computer with an Internet connection, eliminating the need to go out to the field and visit each individual site. The proposed technologies and processes were implemented as a pilot project in the Staunton South 2009 Maintenance Rating Program Evaluation. Results from the pilot project were used to evaluate how the system can enhance current highway asset management practices.

Keywords: Quality management, building information modeling, civil information modeling, facility management, IFC

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Jin Zhu, Ali Mostafavi and Jennifer Whyte

Towards Systems Integration Theory in Megaprojects: A System-of-Systems Framework

Abstract: Megaprojects are large-scale, complex projects composed of various interconnected constituents. Recent research suggests that effective systems integration is one of the major challenges affecting the success of their delivery and that we hence need new taxonomies to characterise and evaluate integration in this context. This paper draws on and contributes to a growing literature on systems integration in megaprojects by proposing a formalized framework for characterization and evaluation of integration between constituents of megaprojects. In this study, megaprojects are conceptualized as systems-of-systems (SoSs). Based on this conceptualization, a SoS framework towards a systems integration theory in megaproject SoSs is proposed. The proposed framework includes two aspects. The first articulates the different dimensions of systems integration. It identifies the types of integration; focuses of integration; integration at different levels; and integration in different phases in megaproject SoSs. The second aspect is related to the indicators of systems integration. Seven indicators are discussed for evaluating the degree of integration in megaprojects. The proposed SoS framework provides a theoretical basis for future research on systems integration in megaprojects and can be used as a guide for developing corresponding empirical studies.

Keywords: Megaprojects, Systems Integration, System-Of-Systems

DOI: https://doi.org/10.24928/JC3-2017/0251

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Mohamad Kassem and Jennifer Li

Big Data Applications in Built Environment: Towards a Use Foundation Model

Abstract: The term big data is increasingly permeating the current debate over the present and the future of our built environment. There are heightened expectations about the role big data may or can play in enabling new applications and decisions across the whole lifecycle of assets, from early design phase through construction to operation and end-of-life. It is therefore necessary to analyse the state-of-the-art in big data applications in built environment. This paper presents a structured and systematic literature review on this emerging theme. The results are quantitatively analysed using network and clustering techniques. The research identified distinct clusters within two lenses: (1) the project lifecycle (i.e., design/planning, construction, and operation), and (2) the built environment hierarchy scale (i.e., component/product, building/facility, site, neighbourhood, region and city). Six clusters of big data applications across the two lenses were identified: energy management, traffic management, design & planning, onsite construction activities, city-wide services, and smart cities.The clusters show the level of research intensity around each of their nodes and the connections between the nodes which indicate the emergence of new avenues of investigations. These results represent the first steps towards developing a descriptive Use Foundation model' for big data applications in built environment.

Keywords: Built Environment, Big Data, Internet of Things, Smart Data

DOI: https://doi.org/10.24928/JC3-2017/0220

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Ranjith K. Soman and Jennifer K Whyte

A Framework for Cloud-Based Virtual and Augmented Reality Using Real-Time Information for Construction Progress Monitoring

Abstract: Researchers are developing techniques to use augmented reality for construction progress monitoring, but these are not widely diffused. A barrier to wider use is that BIM software is often not updated in real-time between the construction office and the construction site. This paper proposes an integrated cloud-based framework to enable construction progress monitoring by creating an automated real-time bidirectional flow of information between the construction site and planning office. This seeks to take advantage of the new opportunities arising because of the consumer VR/AR devices that have come to market in the last year, and the potential for engineers and site personnel to take ownership of these low-cost devices and use them in their role. It contributes to the trajectory of research on virtual and augmented reality in construction by articulating a novel approach to construction progress monitoring through passive data acquisition, cloud-based processing and use of consumer VR/AR devices. The paper concludes by articulating next steps to develop prototypes and work with industry partners to enable them to engage in innovation.

Keywords: Construction, Augmented Reality, Virtual Reality, Cloud Computing, Automatic Data Collection

DOI: https://doi.org/10.24928/JC3-2017/0273

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