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2013

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SMART Infrastructure Facility - Papers

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Full-Text Articles in Engineering

Modelling And Data Frameworks For Understanding Infrastructure Systems Throuh A Systems-Of-Systems Lens, Matthew J. Berryman, Rohan Wickramasuriya, Vu Lam Cao, Pascal Perez Jan 2013

Modelling And Data Frameworks For Understanding Infrastructure Systems Throuh A Systems-Of-Systems Lens, Matthew J. Berryman, Rohan Wickramasuriya, Vu Lam Cao, Pascal Perez

SMART Infrastructure Facility - Papers

Modelling and analysis of large systems of infrastructure systems carries with it a number of challenges, in particular around the volume of data and the requisite complexity (and thus computing resources required) of models. In this paper we present an integrated land use–transportation model of a region in Sydney, and detail how we integrated an agent-based model of location and transport choice with a traffic micro-simulator. We also discuss both some novel architectures for scalability of modelling as well as for fusion and relevant visualisation of large data sets. We have a particular focus on geospatial infrastructure data visualisation.


Data-Driven Modeling And Analysis Of Household Travel Mode Choice, Nagesh Shukla, Jun Ma, Rohan Wickramasuriya Denagamage, Nam N. Huynh Jan 2013

Data-Driven Modeling And Analysis Of Household Travel Mode Choice, Nagesh Shukla, Jun Ma, Rohan Wickramasuriya Denagamage, Nam N. Huynh

SMART Infrastructure Facility - Papers

One of the important problems studied in the area of travel behavior analysis is travel mode choice which is one of the four crucial steps in transportation demand estimation for urban planning. State of the art models in travel demand modelling can be classified as trip based; tour based; and activity based. In trip based approach, each individual trips is modelled as independent and isolated trips i.e. no connections between different trips. In tour based approach, trips that start and end from the same location (home, work, etc) and trips within a tour are dependent on each other. In past …