Using Fuzzy Inference Systems to Optimize Highway Alignments
The general objective of the research project is to explore innovations in integrating infrastructure and land use planning for transportation corridors. In contexts with environmental impact, the choice of transportation routes must address the sensitivity of current and preexisting conditions. Multi-criteria analyses are used to solve problems of this nature, but they do not define an objective approach on a quantitative basis taking into account some important, but often intrinsically unmeasurable parameters. Fuzzy logic becomes a more effective model as systems become more complex. During the preliminary design phase, fuzzy inference systems offer a contribution to decision-making which is much more complete than a benefits/and costs analysis. In this study, alternative alignment options are considered, combining engineering, social, environmental, and economic factors in the decision-making. The research formalizes a general method useful for analyzing different case studies. The method can be used to justify highway alignment choices in environmental impact study analysis.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/2217544X
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Authors:
- Dell'Acqua, Gianluca
- Publication Date: 2012
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 44-59
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Serial:
- International Journal for Traffic and Transport Engineering
- Volume: 2
- Issue Number: 1
- Publisher: City Net Scientific Research Center Ltd.
- ISSN: 2217-544X
- EISSN: 2217-5652
- Serial URL: http://www.ijtte.com/home/
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Alignment; Context sensitive design; Environmental impact analysis; Fuzzy logic; Highway design; Land use planning; Multiple criteria decision making
- Subject Areas: Design; Environment; Highways; Planning and Forecasting; I15: Environment; I21: Planning of Transport Infrastructure;
Filing Info
- Accession Number: 01367910
- Record Type: Publication
- Files: TRIS
- Created Date: Apr 16 2012 9:16AM