Please use this identifier to cite or link to this item: https://doi.org/10.1061/(ASCE)0733-947X(2002)128:5(395)
Title: Optimal vertical alignment analysis for highway design
Authors: Fwa, T.F. 
Chan, W.T.
Sim, Y.P.
Keywords: Alignment
Highway design
Vertical angles
Issue Date: Sep-2002
Source: Fwa, T.F.,Chan, W.T.,Sim, Y.P. (2002-09). Optimal vertical alignment analysis for highway design. Journal of Transportation Engineering 128 (5) : 395-402. ScholarBank@NUS Repository. https://doi.org/10.1061/(ASCE)0733-947X(2002)128:5(395)
Abstract: Critical length of grade control, fixed-elevation points, and nonoverlapping of horizontal and vertical curves are three common requirements in the vertical alignment design of roads. These three forms of constraints are, however, usually not addressed in the conventional road alignment optimization analysis because of the complexity in considering them in the mathematical formulation and solution of the problem. This paper illustrates that the artificial intelligence technique of genetic algorithms can be adopted to handle these three forms of constraints effectively. The formulation of the genetic-algorithm computer program and the method of solution are explained. The validity of the optimization algorithm is verified against a dynamic programming solution. Examples are presented to illustrate the application of the genetic-algorithm program to problems involving critical length of grade requirements, fixed-elevation control, and nonoverlapping of horizontal and vertical curves. These three constraints were found to have significant effects on the computed optimal alignments and the associated construction costs.
Source Title: Journal of Transportation Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/65945
ISSN: 0733947X
DOI: 10.1061/(ASCE)0733-947X(2002)128:5(395)
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

29
checked on Dec 12, 2017

Page view(s)

21
checked on Dec 8, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.