DocumentCode
2441294
Title
Research on Coupling Algorithm between Hierarchical Analysis and Shortest Path Analysis in Tunnel Network
Author
Zhang, Zhi-hua ; Hou, En-ke ; Zhao, Zhou ; Deng, Nian-dong ; Jia, Rui-tao
Author_Institution
Coll. of Geol. & Environ., Xi´´an Univ. of Sci. & Technol., Xian
fYear
2008
fDate
27-28 Dec. 2008
Firstpage
123
Lastpage
128
Abstract
With appearance and development of Digital Earth, Digital Mine is born. It was paid great attention to Digital Mine(DM) by many scholars that DM was regarded as a new science field. On the basis of description on network analysis, shortest path and hierarchical analysis, the paper put forward the coupled algorithm between hierarchical-analysis and shortest-path-analysis(CAHS) according to absorb many advantages of traffic network. The CAHS took the hierarchies into account only the path passed by, and other hierarchies were neglected. Then Dijkstra algorithm was utilized to solve the each considered hierarchy. The shortest path would be solved by comparing all the possible paths which is sum of each considered hierarchies. The example is given to illustrate the processing of algorithm, simultaneously, the steps of algorithm are summarized in detail. After analyzing,the efficiency of CAHS is higher than only using Dijkstra algorithm. It is notable that all improved Dijkstra algorithm can be used flexibly in CAHS with higher efficiency.
Keywords
geographic information systems; graph theory; mining; network theory (graphs); tunnels; Dijkstra algorithm; coupling algorithm; digital earth; digital mine; geographic information system; hierarchical analysis; shortest path analysis; tunnel network; Algorithm design and analysis; Costs; Delta modulation; Geographic Information Systems; Geology; Graph theory; Shafts; Shortest path problem; Urban planning; Water storage; Digital Mine; Hierarchy analysis; Network analysis; Tunnel; shortest path;
fLanguage
English
Publisher
ieee
Conference_Titel
Modelling, Simulation and Optimization, 2008. WMSO '08. International Workshop on
Conference_Location
Hong Kong
Print_ISBN
978-0-7695-3484-8
Type
conf
DOI
10.1109/WMSO.2008.69
Filename
4756971
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