DocumentCode :
1899560
Title :
Development of a Integrated Map Matching Algorithm Based on Fuzzy Theory
Author :
Mei, Guo Li ; Yong, Luo Da
Author_Institution :
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
Volume :
2
fYear :
2009
fDate :
10-11 Oct. 2009
Firstpage :
693
Lastpage :
696
Abstract :
In order to solve the map matching problem in traffic information collection based on wireless positioning, a integrated map matching algorithm based on fuzzy theory was proposed, it identified the road on which the phone-in-moving-vehicle was moving by comparing the similarity degree between its trajectory curve and all the candidate roads, which included three features with look-ahead to improve the accuracy, then fuzzy preference relations were adopted to the multi-criteria decision. The results obtained through this approach are promising.
Keywords :
decision theory; fuzzy set theory; operations research; pattern matching; road traffic; fuzzy preference relations; fuzzy theory; integrated map matching algorithm; multicriteria decision; phone-in-moving-vehicle; road identification; traffic information collection; wireless positioning; Automation; Cellular phones; History; Information science; Mobile communication; Mobile handsets; Road vehicles; Shape; Telecommunication traffic; Trajectory; Fuzzy preference relations; fuzzy theory; map matching; wireless position;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
Type :
conf
DOI :
10.1109/ICICTA.2009.402
Filename :
5287780
Link To Document :
بازگشت