GENETIC ALGORITHMS FOR OPTIMAL URBAN TRANSIT NETWORK DESIGN

This paper aims to highlight the effectiveness of genetic algorithm (GA)-based procedures in solving the urban transit network design problem (UTNDP). The analysis looks at why traditional methods have problems in solving the UTNDP. Procedures are suggested to alleviate these problems using a GA-based optimization technique. The main thrust of this work is three-fold: 1) to show the effectiveness of GAs in solving the UTNDP, 2) to identify features of the UTNDP that make it a difficult problem for traditional techniques, and 3) to suggest directions, through the presentation of GA-based methodologies for the UTNDP, for the development of GA-based procedures for solving other optimization problems having features similar to the UTNDP.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/10939687
• Corporate Authors:

  Blackwell Publishing

  350 Main Street
  Malden, MA  United States  02148
• Authors:
  • Chakroborty, P
• Publication Date: 2003-5

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 184-200
• Serial:
  • Computer-Aided Civil and Infrastructure Engineering
  • Volume: 18
  • Issue Number: 3
  • Publisher: Blackwell Publishing
  • ISSN: 1093-9687
  • Serial URL: http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-8667

Subject/Index Terms

• TRT Terms: Computer models; Genetic algorithms; Optimization; Transit vehicle operations; Transportation engineering; Urban areas; Urban transit
• Uncontrolled Terms: Transit network design
• Subject Areas: Operations and Traffic Management; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 00941062
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 15 2003 12:00AM