Trajectory Segmentation Based on Spatio-Temporal Locality with Multidimensional Index Structures

Author(s):  
Yongjin Kwon ◽  
Junho Jin ◽  
Jinyoung Moon ◽  
Kyuchang Kang ◽  
Jongyoul Park
Author(s):  
Zhan Chen ◽  
Jing Ding ◽  
Mu Zhang ◽  
Wallapak Tavanapong ◽  
Johnny S. Wong

2013 ◽  
Vol 756-759 ◽  
pp. 1234-1239
Author(s):  
Yan Ling Zheng

Proposed a new index structure, named MG2R*, can efficiently store and retrieve the past, present and future positions of network-constrained moving objects. It is a two-tier structure. The upper is a MultiGrid-R*-Tree (MGRT for short) that is used to index the road network. The lower is a group of independent R*-Tree. Each R*-Tree is relative to a route in the road network, can index the spatiotemporal trajectory of the moving objects in the road. Moreover, moving objects query is implemented based on this index structure. It compared to other index structures for road-network-based moving objects, such as MON-Tree, the experimental results shown that the MG2R* can effectively improve the query performance of the spatio-temporal trajectory of network-constrained moving objects.


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