摘要: |
In this proposal, we propose to extend TransDec (short for Transportation Decision-Making), a prototype system that we are developing under our current METRANS grant (Jan '09 to Dec '09). TransDec is a real-data driven system to support decision-making 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. With this proposal, building on our experience from implementing TransDec, we plan to extend our research and technology development efforts under three specific tasks. First, we will investigate and develop new techniques to create a streaming data archival repository. This repository supports continuous querying and analysis of the vast amount of California transit data streams collected by RIITS (Regional Integration of Intelligent Transportation Systems). Second, we will extend the current data-tier of TransDec to a distributed design to enable more scalable and stable computing environment. Finally, to demonstrate the benefits of archiving and querying the streamed traffic datasets in improving the urban mobility, we will develop a novel proof-of-concept application, namely time-dependent optimal sequenced route planner (TD-OSR), based on congestion prediction. This application will exploit a subset of the real-world RIITS datasets, and will be released for public use. |