United States Department of Transportation
i
Transportation Data Discovery Environment: Application for Connected Corridors
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2018-09-01
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[PDF-1.32 MB]
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Alternative Title:Transportation Data Discovery Environment [Project Title from Cover]
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Abstract:D-STOP project 121, Transportation Data Discovery Environment, began in January 2015 and encompassed a number of data-based activities before it ended in August 2018. Through this project, the research team leveraged the computing resources and expertise at UT Austin to develop a “data discovery environment” for transportation data to aid decision-making. The team began by creating that environment, termed the Data Rodeo: a web-based data clearinghouse that corrals transportation-related big data from regional partners in Central Texas. This dynamic ecosystem is available to the broader transportation community for usage and applications. From the Data Rodeo initiative grew additional sub-projects. The final activity was the creation of a work on connected corridors for the City of Austin. This work focused on identifying and implementing the workflows required to effectively evaluate the performance of arterial corridors based on data from multiple sources. In this context, D-STOP researchers developed and implemented workflows and a supporting system architecture to ingest, process, and catalog traffic data collected manually and through sensors. The workflows developed for this task, along with the corresponding decisions related to data storage and schemas, set the basis for developing an efficient framework to support the use of the Data Rodeo, which proved to be a valuable tool to motivate further discussion that may identify a variety of relevant use cases.
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