DocumentCode
535484
Title
New algorithm for fitting 3D highway alignment from geometric data
Author
Jun-Hong Liao ; Chun-fu Shao ; Gao-qiang Zhang ; Juan Zhang
Author_Institution
MOE Key Lab. for Urban Transp. Complex, Beijing Jiaotong Univ., Beijing, China
Volume
6
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
2601
Lastpage
2605
Abstract
Much research on algorithm for fitting highway alignment has been conducted. However, there are also some limitations e.g. hard to collect the source data, high cost, etc. From the point of view of traffic safety assessment techniques of highway alignment, new algorithm for fitting highway alignment is put forward. And the mathematic model and calculation steps of three-dimensional (3D) coordinates and the fitting method of 3D highway alignment are expounded in detail. Then case studies and error analysis of the algorithm are implemented. The algorithm is considered more efficiency, higher accuracy and easier to get the source data etc. than previously developed approaches. The core of the algorithm is using horizontal and vertical geometric data to calculate 3D coordinates, generate control points sequence, and using cubic B-spline approximation to fit 3D highway alignment.
Keywords
approximation theory; computational geometry; error analysis; road safety; splines (mathematics); surface fitting; traffic engineering computing; control points sequence; cubic B-spline approximation; error analysis; fitting 3D highway alignment; geometric data; horizontal geometric data; mathematic model; three-dimensional coordinate; traffic safety assessment technique; vertical geometric data; Accuracy; Algorithm design and analysis; Fitting; Road transportation; Solid modeling; Spline; Three dimensional displays; 3D Highway alignment; Geometric design; Highway; Spline curve; Traffic safety;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6513-2
Type
conf
DOI
10.1109/CISP.2010.5648221
Filename
5648221
Link To Document