Portal is the Portland-Vancouver transportation data
archive with a recent expansion to Central Lane County.
PORTAL archives multi-modal transportation-related data to preserve the
data and provide a resource for local agencies and
students. PORTAL's web
site provides tools for analysis of traffic and transit
data to support operations, planning and performance
measures. Portal is supported by Metro and RTC, with
previous support from NSF, FHWA and OTREC.
The Portland Observatory: Data Intensive Decision
The Portland Observatory is investigating the problem of
Variety in Big Data. In particular, we focus on the issue of
data intensive decision making and using Big Data
technologies to improve the effectiveness of turning data into
information and insight.
insight useful to citizens and decision makers.
The Observatory is building a testbed
focused on transportation data. Our goals are
safety, sustainability and
effectiveness and our target uses are decision makers
and citizens. The Portland Observatory is supported by the
Intel ISTC-BD and a Maseeh Professorship.
S-Store is a collaboration with MIT and
Brown through the Intel ISTC-Big Data. We are developing a
stream processing system with transactional capabilities.
The system will be demo'd at VLDB 2014 in September, 2014.
Dave Maier, Michael Grossniklaus, Sharmadha Moorthy, Kristin
Episodes: May the Frame Be with You In Proceedings of The 6th ACM International
Conference on Distributed Event-Based Systems. DEBS '12 July 16-20, 2012,
Berlin, Germany (Keynote paper)
Rafael J. Fernández-Moctezuma, David Maier, and Kristin A. Tufte.
Towards Execution Guarantees for Stream
In Proceedings of the Third International Workshop on
Scalable Stream Processing Systems (SSPS), Atlanta, GA, USA,
April 23, 2010.
Kristin A. Tufte, Robert L. Bertini, John Chee, Rafael J.
Fernández-Moctezuma, Sathish Periasamy, Shreemoyee Sarkar,
Poonam Singh, James Whiteneck, Spicer Matthews, Nevin
Freeman, and Soyoung Ahn.
Portal 2.0: Towards a Next-Generation Archived Data
In Proceedings of the 89th Annual Meeting of the
Transportation Research Board (TRB), Washington,
D.C., USA, January 10-14 2010.
Kothuri, S., Tufte, K., Fayed, E., and Bertini, R.L.
Toward Understanding and Reducing Errors in Real-Time Estimation of
Transportation Research Record: Journal of
the Transportation Research Board, Transportation Research
Board of the National Academies, Washington, D.C., 2008.
A full list of my computer science publications can be found
SSDBM 2011 will be
in Portland in July 2011. Contact Information email: tufte [at] pdx.edu
Department of Computer Science
P.O. Box 751
Portland State University
Portland, OR 97207-0751
Phone: (503) 725-2419