SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Distance browsing in spatial databases
ACM Transactions on Database Systems (TODS)
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Fast Nearest Neighbor Search in High-Dimensional Space
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Indexing the Distance: An Efficient Method to KNN Processing
Proceedings of the 27th International Conference on Very Large Data Bases
The X-tree: An Index Structure for High-Dimensional Data
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
K-Nearest Neighbor Search for Moving Query Point
SSTD '01 Proceedings of the 7th International Symposium on Advances in Spatial and Temporal Databases
Constrained Nearest Neighbor Queries
SSTD '01 Proceedings of the 7th International Symposium on Advances in Spatial and Temporal Databases
Continuous nearest neighbor search
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Efficient query processing on spatial networks
Proceedings of the 13th annual ACM international workshop on Geographic information systems
Modeling and querying moving objects in networks
The VLDB Journal — The International Journal on Very Large Data Bases
Distance join queries on spatial networks
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
Proximity queries in large traffic networks
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Scalable network distance browsing in spatial databases
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Hierarchical Graph Embedding for Efficient Query Processing in Very Large Traffic Networks
SSDBM '08 Proceedings of the 20th international conference on Scientific and Statistical Database Management
A New Signature-Based Indexing Scheme for Trajectories of Moving Objects on Spatial Networks
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
A spatiotemporal data model for dynamic transit networks
International Journal of Geographical Information Science
Heuristic algorithms for route-search queries over geographical data
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Continuous probabilistic nearest-neighbor queries for uncertain trajectories
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Techniques for Efficiently Searching in Spatial, Temporal, Spatio-temporal, and Multimedia Databases
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
Update-efficient indexing of moving objects in road networks
Geoinformatica
Distance-join: pattern match query in a large graph database
Proceedings of the VLDB Endowment
Continuous evaluation of fastest path queries on road networks
SSTD'07 Proceedings of the 10th international conference on Advances in spatial and temporal databases
S-GRID: a versatile approach to efficient query processing in spatial networks
SSTD'07 Proceedings of the 10th international conference on Advances in spatial and temporal databases
Probabilistic range queries for uncertain trajectories on road networks
Proceedings of the 14th International Conference on Extending Database Technology
An incremental approach to closest pair queries in spatial networks using best-first search
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part II
Ranking continuous nearest neighbors for uncertain trajectories
The VLDB Journal — The International Journal on Very Large Data Bases
Maximizing bichromatic reverse nearest neighbor for Lp-norm in two- and three-dimensional spaces
The VLDB Journal — The International Journal on Very Large Data Bases
Forecasting region search of moving objects
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
An efficient trajectory index structure for moving objects in location-based services
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
Motion-Alert: automatic anomaly detection in massive moving objects
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
Answering pattern match queries in large graph databases via graph embedding
The VLDB Journal — The International Journal on Very Large Data Bases
An efficient indexing scheme for moving objects' trajectories on road networks
WAIM '06 Proceedings of the 7th international conference on Advances in Web-Age Information Management
In-Route skyline querying for location-based services
W2GIS'04 Proceedings of the 4th international conference on Web and Wireless Geographical Information Systems
The islands approach to nearest neighbor querying in spatial networks
SSTD'05 Proceedings of the 9th international conference on Advances in Spatial and Temporal Databases
Nearest neighbor search on moving object trajectories
SSTD'05 Proceedings of the 9th international conference on Advances in Spatial and Temporal Databases
Best upgrade plans for large road networks
SSTD'13 Proceedings of the 13th international conference on Advances in Spatial and Temporal Databases
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A very important class of queries in GIS applications is the class of K-nearest neighbor queries. Most of the current studies on the K-nearest neighbor queries utilize spatial index structures and hence are based on the Euclidean distances between the points. In real-world road networks, however, the shortest distance between two points depends on the actual path connecting the points and cannot be computed accurately using one of the Minkowski metrics. Thus, the Euclidean distance may not properly approximate the real distance. In this paper, we apply an embedding technique to transform a road network to a high dimensional space in order to utilize computationally simple Minkowski metrics for distance measurement. Subsequently, we extend our approach to dynamically transform new points into the embedding space. Finally, we propose an efficient technique that can find the actual shortest path between two points in the original road network using only the embedding space. Our empirical experiments indicate that the Chessboard distance metric (L∞) in the embedding space preserves the ordering of the distances between a point and its neighbors more precisely as compared to the Euclidean distance in the original road network.