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Spatial-temporal Indexing Research based on Road Network: Improved-MON-tree
Author(s) -
Chi Ma,
Yubin Huang,
Yongyong Zhu,
Yanhui Yu
Publication year - 2014
Publication title -
international journal of hybrid information technology
Language(s) - English
Resource type - Journals
eISSN - 2652-2233
pISSN - 1738-9968
DOI - 10.14257/ijhit.2014.7.4.35
Subject(s) - search engine indexing , computer science , tree (set theory) , data mining , artificial intelligence , mathematics , mathematical analysis
Contrary to MON-tree index less than the temporal and spatial indexing methods based on road networks we proposed Improved-MON-tree. The index is divided into two levels and the quad tree grid index at the top of the road network, and the bottom of the two-dimensional Rtree index moving object moving information. In order to support the global trajectory of moving objects query, add a hash structure underlying index structure connected to the moving object information. Verified by experiment, under certain conditions, ImprovedMON-tree than the MON-tree based on edge and routes, has good spatial-temporal window query performance and global trajectory.

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