Digital Civil Infrastructure and Why Is It Important for Transportation Agencies?
Publication: Construction Research Congress 2022
ABSTRACT
Departments of Transportations (DOTs) are facing challenges in managing their infrastructure. Aging infrastructure, limited maintenance funds, and high user demand increases the pressure on the decision-makers to find efficient approaches to ensure a safe and reliable infrastructure system. DOTs heavily depend on the availability of data and budget to keep the infrastructure system in operation. The availability of reliable data coupled with an efficient approach for processing and use of the data can drastically improve the way we manage the transportation infrastructure. Toward that end, we are exploring the potential of developing a cloud-based framework that can provide decision-makers with a better approach for maintaining and managing transportation capital assets. The proposed framework involves integrating the assets Geographic Information System (GIS) and 3D point cloud data on cloud computing platforms. The framework consists of (1) selecting the candidate capital assets, (2) developing a 3D point cloud model of the assets using Light Detection and Ranging (LiDAR), (3) data processing and registration, and (4) a high-level digital. Utilizing cloud computing to visualize 3D point cloud data enables asset management engineers to make informed decisions and enhance asset management.
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REFERENCES
Amirebrahimi, S., Rajabifard, A., Mendis, P., and Ngo, T. (2015). “A data model for integrating GIS and BIM for assessment and 3D visualisation of flood damage to building.” CEUR Workshop Proceedings, 1323(June 2016), 78–89.
ASCE. (2021). “2021 Report Card for America’s Infrastructure.”
Boyes, G. A., Ellul, C., and Irwin, D. (2017). “EXPLORING BIM for OPERATIONAL INTEGRATED ASSET MANAGEMENT – A PRELIMINARY STUDY UTILISING REAL-WORLD INFRASTRUCTURE DATA.” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4(4W5), 49–56.
Cao, V. H., Chu, K. X., Le-Khac, N. A., Kechadi, M. T., Laefer, D., and Truong-Hong, L. (2017). “Toward a new approach for massive LiDAR data processing.”.
Cassan, S. (2019). 3D Infrastructure Modeling and BIM. Global Infrastructure Hub, (December 2019).
Costin, A., Adibfar, A., Hu, H., and Chen, S. S. (2018). “Building Information Modeling (BIM) for transportation infrastructure – Literature review, applications, challenges, and recommendations.” Automation in Construction.
Fosu, R., Suprabhas, K., Rathore, Z., and Cory, C. (2015). “Integration of Building Information Modeling (BIM) and Geographic Information Systems (GIS) – a literature review and future needs.” Proc. of the 32nd CIB W78 Conference 2015, 27th-29th October 2015, Eindhoven, The Netherlands, 196–204.
Gargoum, S., and El-Basyouny, K. (2018). Transportation Infrastructure Asset Management using LiDAR Remote Sensing Technology. (December), 148.
Kang, T. W., and Hong, C. H. (2015). “A study on software architecture for effective BIM/GIS-based facility management data integration.” Automation in Construction, Elsevier B.V., 54, 25–38.
Kivits, R. A., and Furneaux, C. (2013). “BIM: Enabling sustainability and asset management through knowledge management.” The Scientific World Journal, 2013.
Laut, D., Liu, J., Majumdar, S., Nandy, B., St-Hilaire, M., and Yang, C. S. (2013). “A cloud-based approach for smart facilities management.” PHM 2013-2013 IEEE International Conference on Prognostics and Health Management, Conference Proceedings, 1–8.
Lu, Q., Xie, X., Heaton, J., Parlikad, A. K., and Schooling, J. (2020). From BIM towards digital twin: Strategy and future development for smart asset management. Studies in Computational Intelligence, Springer International Publishing.
Ma, Z., and Ren, Y. (2017). “Integrated Application of BIM and GIS: An Overview.” Procedia Engineering, The Author(s), 196(June), 1072–1079.
Mazzanti, P. (2017). “Toward transportation asset management: what is the role of geotechnical monitoring?” Journal of Civil Structural Health Monitoring, 7(5), 652.
El Meouche, R., Rezoug, M., and Hijazi, I. (2013). “Integrating and managing BIM in gis, software review.” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, XL-2/W2(July), 31–34.
Peraka, N. S. P., and Biligiri, K. P. (2020). “Pavement asset management systems and technologies: A review.” Automation in Construction, Elsevier, 119(July), 103336.
Stoker, J. M., Abdullah, Q. A., Nayegandhi, A., and Winehouse, J. (2016). “Evaluation of single photon and Geiger mode lidar for the 3D Elevation Program.” Remote Sensing.
U.S. Department of Transportation. (2007). Asset Management Overview. 52.
Vanier, D. J. (2001). “Why Industry Needs Asset Management Tools.” Journal of Computing in Civil Engineering, 15(1), 35–43.
Wang, C., Hu, F., Sha, D., and Han, X. (2013). “Efficient lidar point cloud data managing and processing in a Hadoop-based distributed framework.” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4(4W2), 121–124.
WSP Global. (2019). Optimizing Digital Asset Data in Transport.
Zhang, Y., O’Connor, S. M., van der Linden, G. W., Prakash, A., and Lynch, J. P. (2016). “SenStore: A Scalable Cyberinfrastructure Platform for Implementation of Data-to-Decision Frameworks for Infrastructure Health Management.” Journal of Computing in Civil Engineering, 30(5), 04016012.
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Published online: Mar 7, 2022
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