期刊
JOURNAL OF SYSTEMS AND SOFTWARE
卷 86, 期 6, 页码 1566-1579出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jss.2013.01.071
关键词
Compression; Network trajectory; Map-matching
资金
- European Union under the FP7/ICT project MODAP
- European Union under the FP7/ICT project DATASIM
- European Union under the ESF/COST Action MOVE
The wide usage of location aware devices, such as GPS-enabled cellphones or PDAs, generates vast volumes of spatiotemporal streams of location data raising management challenges, such as efficient storage and querying. Therefore, compression techniques are inevitable also in the field of moving object databases. Related work is relatively limited and mainly driven by line simplification and data sequence compression techniques. Moreover, due to the (unavoidable) erroneous measurements from GPS devices, the problem of matching the location recordings with the underlying traffic network has recently gained the attention of the research community. So far, the proposed compression techniques have not been designed for network constrained moving objects, while on the other hand, existing map matching algorithms do not take compression aspects into consideration. In this paper, we propose solutions tackling the combined, map matched trajectory compression problem, the efficiency of which is demonstrated through an extensive experimental evaluation on offline and online trajectory data using synthetic and real trajectory datasets. (C) 2013 Elsevier Inc. All rights reserved.
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