DocumentCode
1910008
Title
Research and Application of Variational Curve Model in Limited Restriction Condition
Author
Wei, ShangGuan ; Jian, Wang ; Bai-gen, Cai ; Chen-xi, Gou
Author_Institution
State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
Volume
2
fYear
2009
fDate
10-11 Oct. 2009
Firstpage
164
Lastpage
167
Abstract
Research of variational curve model in limited restriction condition and application in rail train control track database was studied in this paper, raised the method, model and algorithm for digital track map auto-generation from GPS track data, through lots of testify, comparison and improvement using practical data between those algorithm and method, aim at track data, construct mathematical model of data reduction, analyze the limited restriction condition of practical train operation situation, and studied the curve evolution theory, using the algorithm base on variational curve model evolution theory to realize data reduction and error deletion, obtain a few key data automatically to describe rail track in a certain satisfactory error condition, improve the track database automatic generation and optimization method, realize real-time and precise positioning of rail control system base on GPS.
Keywords
data reduction; database management systems; evolutionary computation; railway engineering; variational techniques; GPS track data; curve evolution theory; data reduction; digital track map autogeneration; error deletion; limited restriction condition; mathematical model; optimization method; rail train control track database; track database automatic generation; variational curve model evolution theory; Algorithm design and analysis; Automatic testing; Data analysis; Databases; Error correction; Global Positioning System; Mathematical model; Optimization methods; Rails; System testing;
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.2009.277
Filename
5288211
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