Real-time route planning with stream processing systems: a case study for the city of Lucerne

  • Authors:
  • Asli Özal;Anand Ranganathan;Nesime Tatbul

  • Affiliations:
  • Systems Group, ETH Zurich, Switzerland;IBM T. J. Watson Research Center, Hawthorne, NY;Systems Group, ETH Zurich, Switzerland

  • Venue:
  • Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoStreaming
  • Year:
  • 2011

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Abstract

Traffic-aware real-time route planning has recently been an application of increasing interest for metropolitan cities with busy traffic. This paper approaches the problem from a stream processing point of view and proposes a general architecture to solve it. This work is inspired by a real use case and is implemented on an industry-strength stream processing engine. Experimental results on this implementation demonstrate the scalability of this approach in terms of increasing data and query rates.