Smart City Gnosys

Smart city article details

Title Leveraging Network Interdependences To Overcome Inaccessible Civil Infrastructure Data
ID_Doc 35111
Authors Moore B.; Jacques D.; Schuldt S.
Year 2021
Published Proceedings - Winter Simulation Conference, 2021-December
DOI http://dx.doi.org/10.1109/WSC52266.2021.9715513
Abstract Data-driven decision making and expansion of smart city infrastructure require massive amounts of data that might not be available. The lack of infrastructure data can make it challenging to recover interdependent infrastructure systems following a disruption. Interdependent infrastructure systems are often modeled as networks with an interdependency parameter. Researchers can partially overcome gaps in data associated with the individual networks by modifying interdependency parameters to include interdependency type and coupling strategy information. Overcoming missing telecommunications data is illustrated using a combined network design and scheduling problem with a modified interdependency parameter. The modified parameter allows analysis without a full dataset and removes the necessity of adding constraints and variables to handle complex infrastructure relationships. The difference in system operability results from partial and full datasets is less than or equal to 2.6%. This modeling method provides an interim solution to full data acquisition and may be suitable in other applications. © 2021 IEEE.
Author Keywords


Similar Articles


Id Similarity Authors Title Published
32771 View0.866Amini M.H.; Imteaj A.; Pardalos P.M.Interdependent Networks: A Data Science PerspectivePatterns, 1, 1 (2020)
40217 View0.856Aziz H.M.A.; Banisakher D.M.Operational Interdependency Between Electrical Substations And Road Networks Under Extreme Events2020 IEEE International Smart Cities Conference, ISC2 2020 (2020)