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Preliminary Highway Design with Genetic Algorithms and Geographic Information Systems
Author(s) -
Jong JyhCherng,
Jha Manoj K.,
Schonfeld Paul
Publication year - 2000
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/0885-9507.00190
Subject(s) - geographic information system , computer science , genetic algorithm , data mining , radius , algorithm , function (biology) , optimal design , mathematical optimization , remote sensing , geography , mathematics , machine learning , computer security , evolutionary biology , biology
A method that integrates geographic information systems (GIS) with genetic algorithms (GAs) for optimizing horizontal highway alignments between two given end points is presented in this article. The proposed approach can be used to optimize alignments in highly irregular geographic spaces. The resulting alignments are smooth and satisfy minimum‐radius constraints, as required by highway design standards. The objective function in the proposed model considers land‐acquisition cost, environmental impacts such as wetlands and flood plains, length‐dependent costs (which are proportional to the alignment length), and user costs. A numerical example based on a real map is employed to demonstrate application of the proposed model to the preliminary design of horizontal alignments.