A petri-net based context representation in smart car environment

  • Authors:
  • Jie Sun;Yongping Zhang;Kejia He

  • Affiliations:
  • School of Electronic and Information Engineering, Ningbo University of Technology;School of Electronic and Information Engineering, Ningbo University of Technology;School of Electronic and Information Engineering, Ningbo University of Technology

  • Venue:
  • GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
  • Year:
  • 2010

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Abstract

Driving is a complex process influenced by a wide range of factors, especially complex interactions between the driver, the vehicle and the environment This paper aims at the representation of complex situations in smart car domain Unlike existing context-aware systems which isolate one context situation from another, such as road congestion and car deceleration, this paper proposes a context model which considers the driver, vehicle and environment as a whole The paper tries to discover the inherent relationship between the situations in the smart car environment, and proposes a context model to support the representation of situations and their correlation The detailed example scenarios are given to illustrate our idea.