DocumentCode :
2294898
Title :
The application of fuzzy evidence theory in optimum route planning
Author :
Cao, Wen ; Shi, Hui ; Zhu, Shu-long ; Li, Run-sheng
Author_Institution :
Inst. of Surveying & Mapping, Inf. Eng. Univ., Zhengzhou, China
Volume :
8
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
4335
Lastpage :
4337
Abstract :
Route planning is one of core modules in vehicle navigation system, is the basic of navigation and information service, and its key is to find the optimum route through the traffic information. But they are often just added together simply, which neither can use the attributes appropriately, nor the route planning result is perfect enough. The paper makes a fusion on the information by fuzzy evidence theory after the information is quantized, and the results are used as weight of the route. The experimental results show that the algorithm can optimize the route planning results and prove its reliability and feasibility.
Keywords :
fuzzy set theory; inference mechanisms; navigation; planning; reliability; traffic information systems; fuzzy evidence theory; information fusion; information service; optimum route planning; traffic information; vehicle navigation system; Algorithm design and analysis; Classification algorithms; Computers; Heuristic algorithms; Navigation; Planning; Roads; Dijkstra Algorithm; Evidence Theory; Fuzzy Evidence Theory; Route Planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
Type :
conf
DOI :
10.1109/ICNC.2010.5583602
Filename :
5583602
Link To Document :
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