CkNN query processing over moving objects with uncertain speeds in road networks

  • Authors:
  • Guohui Li;Yanhong Li;LihChyun Shu;Ping Fan

  • Affiliations:
  • School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, P.R. China;School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, P.R. China;College of Management, National Cheng Kung University, Tainan City, Taiwan, R.O.C.;School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, P.R. China

  • Venue:
  • APWeb'11 Proceedings of the 13th Asia-Pacific web conference on Web technologies and applications
  • Year:
  • 2011

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Abstract

This paper focuses on processing continuous k nearest neighbor queries over objects moving at uncertain speeds (CUkNN) in road networks. We present a novel model to estimate the distances between objects and a query, both of which move at variable speeds in the road network. Based on the proposed distance model, we present a CUkNN query monitoring method to continuously find the objects that could potentially be the k-nearest neighbors (kNN) of the query. We propose an efficient method to calculate the probability of each object being a kNN of a query. The key thing about the method is that the probability of an object being a kNN of query q is shown to be equivalent to the probability of a special line segment being one of the k-nearest lines from q, which greatly simplifies the probability calculation.