Graph indexing for spatial data traversal in road map databases

This paper proposes a graph indexing technique for processing constrained spatial queries and discusses the application of such a technique to road map databases where the graph topology is relatively stationary. The fundamental idea of our technique is to augment the original graph with selected augmented links so that query processing cost, especially I/O cost, is minimized. Based on the computational results derived from the probabilistic analysis, we found that the proposed graph indexing technique is a promising approach for significantly reducing costs of spatial queries.