TransDec: A Data-Driven Framework for Decision-Making in Transportation Systems

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dc.creatorDemiryurek, Ugur
dc.creatorBanaei-Kashani, Farnoush
dc.creatorShahabi, Cyrus
dc.date2017-04-01T19:51:27Z
dc.date.accessioned2026-07-09T09:28:55Z
dc.descriptionIn this paper, we present an end-to-end data-driven system, dubbed TransDec (short for Transportation Decision-Making), to enable decision-making queries in transportation systems with dynamic, real-time and historical data. With TransDec, we particularly address the challenges in visualization, monitoring, querying and analysis of dynamic and large-scale spatiotemporal transportation data. TransDec fuses a variety of transportation related real-world spatiotemporal datasets including massive traffic sensor data, trajectory data, transportation network data, and points-of-interest data to create an immersive and realistic virtual model of a transportation system. Atop such a virtual system, TransDec allows for processing a wide range of customized spatiotemporal queries efficiently and interactively. TransDec has a three-tier architecture, including a multimodal spatiotemporal database, an expressive and efficient query-engine and an interactive map-mashup presentation tier. With this paper, first we describe the components of the TransDec architecture. Subsequently, as proof-of-concept we present a number of decision-making queries enabled by TransDec.
dc.identifierdoi:10.22004/ag.econ.207726
dc.identifierhttps://ageconsearch.umn.edu/record/207726/files/2009_72_TransDec_paper.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/207726
dc.identifier.urihttp://hdl.handle.net/123456789/609341
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/207726
dc.titleTransDec: A Data-Driven Framework for Decision-Making in Transportation Systems
dc.typeText

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