Artificial Intelligence In Highway Location And Alignment Optimization: Applications Of Genetic Algorithms In Searching, Evaluating, And Optimizing Highway Location And Alignments
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A01=Min-wook Kang
A01=Paul Schonfeld
Alignment Optimization
Artificial Intelligence
Author_Min-wook Kang
Author_Paul Schonfeld
Bi-Level Optimization
Category=UMB
Category=UYQ
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
GAs
Genetic Algorithms
Geographic Information Systems
Highway Life Cycle Costs
Highway Location Search and Selection
Highway Planning
Horizontal Alignments
Sustainable Highway Design
Three-Dimensional Highway Alignments
Vertical Alignments
Product details
- ISBN 9789813272804
- Publication Date: 07 Sep 2020
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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This monograph provides a comprehensive overview of methods for searching, evaluating, and optimizing highway location and alignments using genetic algorithms (GAs), a powerful Artificial Intelligence (AI) technique. It presents a two-level programming structure to deal with the effects of varying highway location on traffic level changes in surrounding road networks within the highway location search and alignment optimization process. In addition, the proposed method evaluates environmental impacts as well as all relevant highway costs associated with its construction, operation, and maintenance. The monograph first covers various search methods, relevant cost functions, constraints, computational efficiency, and solution quality issues arising from optimizing the highway alignment optimization (HAO) problem. It then focuses on applications of a special-purpose GA in the HAO problem where numerous highway alignments are generated and evaluated, and finally the best ones are selected based on costs, traffic impacts, safety, energy, and environmental considerations. A review of other promising optimization methods for the HAO problem is also provided in this monograph.
