Stream Traffic Data Archival, Querying, and Analysis with TransDec

7542275232011Final report.PDFTech ReportMETRANS Project 10-13Intelligent transportation systemsTelematicsSoftwareComputer programsSoftware packagesTransDec (Computer programs)Intelligent transportation systemsResearch HubCaliforniaUnited StatesMETRANS Transportation Center (Calif.)Shahabi, CyrusMETRANS Transportation Center (Calif.)US Transportation CollectionThe goal of research was to extend the traffic data analysis of the TransDec (short for Transportation Decision-Making) system, which was developed under METRANS 09-26 research grant. The TransDec system is a real-data driven system to support decisionmaking in transportation systems. With TransDec, so far we have addressed the challenges in visualization, querying and management of dynamic and large-scale spatiotemporal transportation data, in particular, traffic sensors data and moving assets data.\u2020 With this proposal, building on our experience in implementing TransDec, we extended our research and technology development efforts under three specific tasks. First, we developed new techniques to create a streaming data archival repository that supports continuous querying and analysis of the vast amount of California transit data from RIITS (Regional Integration of Intelligent Transportation Systems) generated in the form of data streams. Second, we extended the current data-tier of TransDec to a distributed design to enable more scalable and stable computing environment. Finally, to demonstrate the benefits of the archived traffic datasets, we presented a novel proof-ofconcept application, namely time-dependent optimal sequenced route (TD-OSR) planner using congestion prediction. This application exploits a subset of the real-world RIITS datasets, and these days we evaluating the ways to make it available for public use