Volume 4, Issue 3 (September 2006)
IJCE 2006, 4(3): 244-259 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Afandizadeh Zargari S, Taromi R. Selecting an Optimum Configuration of Urban One-Way and Two-Way Streets Using Genetic Algorithms. IJCE 2006; 4 (3) :244-259
URL: http://ijce.iust.ac.ir/article-1-345-en.html
URL: http://ijce.iust.ac.ir/article-1-345-en.html
Abstract: (10595 Views)
Optimization is an important methodology for activities in planning and design. The
transportation designers are able to introduce better projects when they can save time and cost of
travel for project by optimization methods. Most of the optimization problems in engineering are
more complicated than they can be solved by custom optimization methods. The most common and
available methods are heuristic methods. In these methods, the answer will be close to the optimum
answer but it isn’t the exact one. For achieving more accuracy, more time has been spent. In fact,
the accuracy of response will vary based on the time spent.
In this research, using the generic algorithms, one of the most effective heuristic algorithms, a
method of optimization for urban streets direction will be introduced. Therefore model of decision
making in considered one way – two way streets is developed. The efficiency of model in Qazvin
network is shown and the results compared whit the current situation as case study. The objective
function of the research is to minimize the total travel time for all users, which is one of the most
used in urban networks objectives.
Type of Study: Research Paper |
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
