2042-3195/asset/cover.gif?v=1&s=abead5e839ebcc265746dac49e65d5613c92f348 "Journal of Advanced Transportation")
Min Wook Kang and Paul Schonfeld, Department of Civil Engineering, University of Maryland, College Park, MD, USA
2042-3195/asset/olbannerleft.gif?v=1&s=35fe879a81115466a8f8ad9997064bbc635f7052)
Article
Highway alignment optimization through feasible gates
Article first published online: 8 JAN 2010
DOI: 10.1002/atr.5670410202
Copyright © 2007 John Wiley & Sons Ltd
Additional Information
How to Cite
Kang, M. W., Schonfeld, P. and Jong, J.-C. (2007), Highway alignment optimization through feasible gates. J. Adv. Transp., 41: 115–144. doi: 10.1002/atr.5670410202
Publication History
- Issue published online: 8 JAN 2010
- Article first published online: 8 JAN 2010
- Manuscript Accepted: 1 NOV 2006
- Manuscript Received: 1 SEP 2006
Funded by
- Alignment Evaluation and Optimization Research
- Abstract
- References
- Cited By
Keywords:
- Highway Alignment Optimization;
- User-defined Constraints;
- Feasible Bound;
- Horizontal Alignment;
- Vertical Alignment;
- Genetic Algorithms (GAs);
- Geographic Information Systems (GIS);
- Computation Efficiency;
- and Solution quality
Abstract
An efficient optimization approach, called feasible gate (FG), is developed to enhance the computation efficiency and solution quality of the previously developed highway alignment optimization (HAO) model. This approach seeks to realistically represent various user preferences and environmentally sensitive areas and consider them along with geometric design constraints in the optimization process. This is done by avoiding the generation of infeasible solutions that violate various constraints and thus focusing the search on the feasible solutions. The proposed method is simple, but improves significantly the model's computation time and solution quality. Such improvements are demonstrated with two test examples from a real road project.