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

Guohui Li, Yanhong Li, Lih-Chyun Shu, Ping Fan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationWeb Technologies and Applications - 13th Asia-Pacific Web Conference, APWeb 2011, Proceedings
Number of pages12
Publication statusPublished - 2011 Apr 28
Event13th Asia-Pacific Conference on Web Technology, APWeb 2011 - Beijing, China
Duration: 2011 Apr 182011 Apr 20

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6612 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other13th Asia-Pacific Conference on Web Technology, APWeb 2011

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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