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Continuous Detour Queries in Spatial Networks
July 2012 (vol. 24 no. 7)
pp. 1201-1215
ASCII Text
x 
 
Sarana Nutanong, Egemen Tanin, Jie Shao, Rui Zhang, Kotagiri Ramamohanarao, "Continuous Detour Queries in Spatial Networks," IEEE Transactions on Knowledge and Data Engineering, vol. 24, no. 7, pp. 1201-1215, July, 2012.
 
 
BibTex
x
 
@article{ 10.1109/TKDE.2011.52,
author = {Sarana Nutanong and Egemen Tanin and Jie Shao and Rui Zhang and Kotagiri Ramamohanarao},
title = {Continuous Detour Queries in Spatial Networks},
journal ={IEEE Transactions on Knowledge and Data Engineering},
volume = {24},
number = {7},
issn = {1041-4347},
year = {2012},
pages = {1201-1215},
doi = {http://doi.ieeecomputersociety.org/10.1109/TKDE.2011.52},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Knowledge and Data Engineering
TI - Continuous Detour Queries in Spatial Networks
IS - 7
SN - 1041-4347
SP1201
EP1215
EPD - 1201-1215
A1 - Sarana Nutanong,
A1 - Egemen Tanin,
A1 - Jie Shao,
A1 - Rui Zhang,
A1 - Kotagiri Ramamohanarao,
PY - 2012
KW - Continuous queries
KW - spatial network
KW - spatial databases.
VL - 24
JA - IEEE Transactions on Knowledge and Data Engineering
ER -
 
Sarana Nutanong, University of Maryland, College Park
Egemen Tanin, University of Melbourne, Victoria and NICTA Victoria Research Laboratory
Jie Shao, University of Melbourne, Victoria
Rui Zhang, University of Melbourne, Victoria
Kotagiri Ramamohanarao, University of Melbourne, Victoria and NICTA Victoria Research Laboratory
We study the problem of finding the shortest route between two locations that includes a stopover of a given type. An example scenario of this problem is given as follows: “On the way to Bob's place, Alice searches for a nearby take-away Italian restaurant to buy a pizza.” Assuming that Alice is interested in minimizing the total trip distance, this scenario can be modeled as a query where the current Alice's location (start) and Bob's place (destination) function as query points. Based on these two query points, we find the minimum detour object (MDO), i.e., a stopover that minimizes the sum of the distances: 1) from the start to the stopover, and 2) from the stopover to the destination. In a realistic location-based application environment, a user can be indecisive about committing to a particular detour option. The user may wish to browse multiple (k) MDOs before making a decision. Furthermore, when a user moves, the k{\rm MDO} results at one location may become obsolete. We propose a method for continuous detour query (CDQ) processing based on incremental construction of a shortest path tree. We conducted experimental studies to compare the performance of our proposed method against two methods derived from existing k-nearest neighbor querying techniques using real road-network data sets. Experimental results show that our proposed method significantly outperforms the two competitive techniques.

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Index Terms:
Continuous queries, spatial network, spatial databases.
Citation:
Sarana Nutanong, Egemen Tanin, Jie Shao, Rui Zhang, Kotagiri Ramamohanarao, "Continuous Detour Queries in Spatial Networks," IEEE Transactions on Knowledge and Data Engineering, vol. 24, no. 7, pp. 1201-1215, July 2012, doi:10.1109/TKDE.2011.52
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