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GSMNet: A Hierarchical Graph Model for Moving Objects in Networks
Zhang, Hengcai1,2; Lu, Feng1,2,3
2017-03-01
Source PublicationISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
ISSN2220-9964
Volume6Issue:3Pages:21
Corresponding AuthorLu, Feng(luf@lreis.ac.cn)
AbstractExisting data models for moving objects in networks are often limited by flexibly controlling the granularity of representing networks and the cost of location updates and do not encompass semantic information, such as traffic states, traffic restrictions and social relationships. In this paper, we aim to fill the gap of traditional network-constrained models and propose a hierarchical graph model called the Geo-Social-Moving model for moving objects in Networks (GSMNet) that adopts four graph structures, RouteGraph, SegmentGraph, ObjectGraph and MoveGraph, to represent the underlying networks, trajectories and semantic information in an integrated manner. The bulk of user-defined data types and corresponding operators is proposed to handle moving objects and answer a new class of queries supporting three kinds of conditions: spatial, temporal and semantic information. Then, we develop a prototype system with the native graph database system Neo4Jto implement the proposed GSMNet model. In the experiment, we conduct the performance evaluation using simulated trajectories generated from the BerlinMOD (Berlin Moving Objects Database) benchmark and compare with the mature MOD system Secondo. The results of 17 benchmark queries demonstrate that our proposed GSMNet model has strong potential to reduce time-consuming table join operations an d shows remarkable advantages with regard to representing semantic information and controlling the cost of location updates.
Keywordmoving objects data model network trajectories semantic information Secondo
DOI10.3390/ijgi6030071
WOS KeywordTRAFFIC MONITORING SYSTEMS ; DATA DISSEMINATION ; SENSOR NETWORKS ; CLASSIFICATION
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41401460] ; State Key Research Development Program of China[2016YFB0502104]
Funding OrganizationNational Natural Science Foundation of China ; State Key Research Development Program of China
WOS Research AreaPhysical Geography ; Remote Sensing
WOS SubjectGeography, Physical ; Remote Sensing
WOS IDWOS:000398732200014
PublisherMDPI AG
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/64664
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLu, Feng
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Fujian Collaborat Innovat Ctr Big Data Applicat G, Fuzhou 350003, Peoples R China
3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Hengcai,Lu, Feng. GSMNet: A Hierarchical Graph Model for Moving Objects in Networks[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2017,6(3):21.
APA Zhang, Hengcai,&Lu, Feng.(2017).GSMNet: A Hierarchical Graph Model for Moving Objects in Networks.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,6(3),21.
MLA Zhang, Hengcai,et al."GSMNet: A Hierarchical Graph Model for Moving Objects in Networks".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 6.3(2017):21.
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