A Bi-Level Programming Model for the Road Network Planning in Economic Circle

A bi-level programming model with multi-objective is presented to optimize the road network in economic circle on the basis of genetic simulated annealing algorithm. The upper level is established with the objective functions of minimizing the total cost of investment and maximizing the road network connectivity. The lower level predicts the network traffic flow pattern, under the stochastic user equilibrium assignment model. An algorithm coded by MATLAB is more suitable for solving a large scale network optimization. Taking road network in the economic circle of Yangtze River Delta as an example confirms that not only this model and algorithm are effective and feasible, but also the best solution to the algorithm is credible.

• Record URL:
  https://doi.org/10.1061/41039(345)115
• 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:
  • Yi, Fujun
  • Deng, Wei
  • Zhou, Zhuping
  • Cheng, Xi
  • Wang, Chen
• 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 693-698
• Monograph Title: International Conference on Transportation Engineering 2009

Subject/Index Terms

• TRT Terms: Computer models; Economic factors; Genetic algorithms; Highway planning; Programming (Planning); Simulated annealing
• Uncontrolled Terms: Bi-level programming; Multi-objective programming
• Geographic Terms: Yangtze River Delta
• Subject Areas: Economics; Highways; Planning and Forecasting; I10: Economics and Administration; I21: Planning of Transport Infrastructure;

Filing Info

• Accession Number: 01525221
• Record Type: Publication
• ISBN: 9780784410394
• Files: TRIS, ASCE
• Created Date: May 24 2014 12:46PM