DocumentCode
523581
Title
Multi-level Hierarchical Layout Method of Large Scale Subgrade-type Traffic Detectors under Disaster
Author
Sun, Xiaomei ; Yang, Zhaosheng ; Wang, Zhijian
Author_Institution
State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Jilin, China
Volume
2
fYear
2010
fDate
11-12 May 2010
Firstpage
748
Lastpage
751
Abstract
Real-time traffic information acquisition is the key to traffic emergency organization under disasters. Taking subgrade-type detectors as study contents, this paper proposed a multi-level hierarchical layout method. Firstly, based on road network topology structure characteristics, the method applied graph theory to solve detector layout in large scale network. Secondly, from traffic volume space-time distribution perspective, the method used correlation and cluster analysis to further optimize the detector layout in regional network. And at last, according to the cost and anti -disaster capability of various detectors, it used linear programming to complete the layout for subgrade-type detectors on microscopic-level. Experiment showed that this method satisfied the normal and disaster traffic information acquisition.
Keywords
disasters; graph theory; linear programming; pattern clustering; road traffic; statistical analysis; traffic information systems; antidisaster capability; applied graph theory; cluster analysis; correlation method; large scale subgrade-type traffic detector; linear programming; multilevel hierarchical layout method; real time disaster traffic information acquisition; road network topology structure characteristics; traffic volume space time distribution; Costs; Detectors; Graph theory; Large-scale systems; Linear programming; Microscopy; Network topology; Optimization methods; Roads; Telecommunication traffic; Subgrade-type traffic detector; cluster analysis; graph theory; linear programming; multi-level hierarchical method;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-7279-6
Electronic_ISBN
978-1-4244-7280-2
Type
conf
DOI
10.1109/ICICTA.2010.56
Filename
5522630
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