Bus Network Design Using Genetic Algorithm

Hadi Sadrsadat, Hossein Poorzahedi, Ali Haghani and Elham Sharifi

No 207124, 53rd Annual Transportation Research Forum, Tampa, Florida, March 15-17, 2012 from Transportation Research Forum

Abstract: The bus network design problem is an important problem in transportation planning. It is the problem of determining a network of bus lines which best achieves a predetermined objective. This may be done with or without the presence of rapid transit lines. This study is devoted to solving this problem using genetic algorithm. The fitness function is defined as the benefit to the users of the bus network less the cost of the operator of the network, which is to be maximized subject to constraints that properly distribute bus routes over the study area. Objective function calculation depends on the basic data of the city and its bus lines and does not need traffic assignment results. So, it is calculated quickly and it makes the genetic algorithm operation faster. Several good solutions were generated through a sensitivity analysis by changing the parameters of the problem affecting bus route geographical distribution. A network assignment problem was solved for each of the alternative bus networks and several measures of effectiveness were evaluated for them. A multi-objective analysis (concordance analysis) was performed based on 10 measures of effectiveness and 14 weighting systems. As a result, a bus network was proposed for the city of Mashad, Iran.

Keywords: Research and Development/Tech Change/Emerging Technologies; Teaching/Communication/Extension/Profession (search for similar items in EconPapers)
Pages: 16
Date: 2012-03
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://ageconsearch.umn.edu/record/207124/files/2 ... gn_Gen_Algorithm.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:ndtr12:207124

DOI: 10.22004/ag.econ.207124

Access Statistics for this paper

More papers in 53rd Annual Transportation Research Forum, Tampa, Florida, March 15-17, 2012 from Transportation Research Forum
Bibliographic data for series maintained by AgEcon Search ().