Path-Based Constrained Nearest Neighbor Search in a Road Network

Nearest Neighbor (NN) queries are frequently used for location-dependent information services. In this paper, we study a new NN query called Path-based Constrained Nearest Neighbor (PCNN) query, which involves the additional constraints on non-spatial attribute values of data objects on processing a continuous NN search along a path. For PCNN query processing, we propose an efficient PCNN query method based on transformation idea. The proposed method transforms a continuous NN search into static NN queries at discrete intersection nodes. We further leverage peer-to-peer sharing to improve the proposed method. Extensive experiments are conducted, and the results demonstrate the effectiveness of our methods.

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