In this paper, we present an end-to-end data-driven system, dubbed TransDec (shortfor Transportation Decision-Making), to enable decision-making queries in transportationsystems with dynamic, real-time and historical data. With TransDec, we particularlyaddress the challenges in visualization, monitoring, querying and analysis of dynamic andlarge-scale spatiotemporal transportation data. TransDec fuses a variety of transportationrelated real-world spatiotemporal datasets including massive traffic sensor data, trajectorydata, transportation network data, and points-of-interest data to create an immersive andrealistic virtual model of a transportation system. Atop such a virtual system, TransDecallows for processing a wide range of customized spatiotemporal queries efficiently andinteractively. TransDec has a three-tier architecture, including a multimodalspatiotemporal database, an expressive and efficient query-engine and an interactivemap-mashup presentation tier. With this paper, first we describe the components of theTransDec architecture. Subsequently, as proof-of-concept we present a number ofdecision-making queries enabled by TransDec.
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