Travel time estimation using NiagaraST and latte

ABSTRACT

To address increasing traffic congestion and its associated consequences, traffic managers are turning to intelligent transportation management. The latte project is extending data stream technology to handle queries that combine live streams with large data archives, motivated by needs in the Intelligent Transportation Systems (ITS) domain. In particular, we focus on queries that combine live data streams with large data archives. We demonstrate such stream-archive queries via the travel-time estimation problem. The demonstration uses the new latte system which has been developed using the NiagaraST stream processing system and the PORTAL transportation data archive.

REFERENCES

• 1: Bertini, R. L., Matthews, S., et al. "ITS Archived Data User Service in Portland, Oregon: Now and Into the Future." 8th International IEEE Conference on Intelligent Transportation Systems, Vienna, Austria, September 13-16, 2005.
• 2: Li, J., Maier, D., Tufte, K., Papadimos, V. Out-of-Order Processing in the NiagaraST Stream System. http://www.cs.pdx.edu/~jinli/oop.pdf
• 3: Naughton, J., DeWitt, D., Maier, D. et al. The Niagara Internet Query System. IEEE Data Engineering Bulletin 24(2):27--33 (2001).
• 4: Peter A. Tucker , David Maier , Tim Sheard , Leonidas Fegaras, Exploiting Punctuation Semantics in Continuous Data Streams, IEEE Transactions on Knowledge and Data Engineering, v.15 n.3, p.555-568, March 2003 [doi>10.1109/TKDE.2003.1198390]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.4 Systems
          Subjects: Query processing

General Terms:
Design, Performance

Keywords:
data stream management systems, hybrid queries, stream-archive queries