4.7 Article

A bi-objective optimization framework for three-dimensional road alignment design

Journal

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trc.2016.01.016

Keywords

Road design; Horizontal alignment; Surrogate modeling; Multi-objective optimization; Earthwork cost; Utility costs

Funding

  1. Natural Sciences and Engineering Research Council of Canada (NSERC) through Collaborative Research and Development grant - Softree Technical Systems Ltd. [CRDPJ 411318-2010]
  2. Leaders Opportunity Fund (LOF) from the Canada Foundation for Innovation (CFI)
  3. British Columbia Knowledge Development Fund (BCKDF)
  4. University of British Columbia (UBC) through University Graduate Fellowships (UGF)
  5. [355571-2013]
  6. [298145-2013]
  7. [2014-05013]

Ask authors/readers for more resources

Optimization of three-dimensional road alignments is a nonlinear non-convex optimization problem. The development of models that fully optimize a three-dimensional road alignment problem is challenging due to numerous factors involved and complexities in the geometric specification of the alignment. In this study, we developed a novel bi-objective optimization approach to solve a three dimensional road alignment problem where the horizontal and vertical alignments are optimized simultaneously. Two conflicting cost objective functions, earthwork cost and the utility cost, are cast in a bi-objective optimization problem. We numerically compare several multi-objective optimization solvers, and find that it is possible to determine the Pareto front in a reasonable time. (C) 2016 Elsevier Ltd. All rights reserved.

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