Public Transit Network Planning Based on Evolutionary Algorithm

The evolutionary algorithm employs chromosomes for encoding the path. Dominance relation and density information are incorporated to fitness assignment for keeping diversity of individuals. Bounded elitism ensures optimal performance of the algorithm. When given the sets of acceptable paths and stations, the algorithm can obtain multiple multi-objective optimal paths within acceptable time.

• Record URL:
  https://doi.org/10.1061/41039(345)648
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784410394
• Supplemental Notes:
  • © 2009 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Duan, Li
  • Yin, Yong
• Conference:
  • Second International Conference on Transportation Engineering
  • Location: Chengdu , China
  • Date: 2009-7-25 to 2009-7-27
• Publication Date: 2009-7

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 3930-3935
• Monograph Title: International Conference on Transportation Engineering 2009

Subject/Index Terms

• TRT Terms: Algorithms; Networks; Optimization; Planning; Public transit
• Subject Areas: Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01535529
• Record Type: Publication
• ISBN: 9780784410394
• Files: TRIS, ASCE
• Created Date: Nov 12 2013 1:45PM