000207124 001__ 207124
000207124 005__ 20180123001325.0
000207124 037__ $$a1431-2016-118726
000207124 041__ $$aen_US
000207124 245__ $$aBus Network Design Using Genetic Algorithm
000207124 260__ $$c2012-03
000207124 269__ $$a2012-03
000207124 270__ $$mhadisadr@umd.edu$$pSadrsadat,   Hadi
000207124 270__ $$mporzahed@sharif.edu$$pPoorzahedi,   Hossein
000207124 270__ $$mhaghani@umd.edu$$pHaghani,   Ali
000207124 270__ $$mesharifi@umd.edu$$pSharifi,   Elham
000207124 300__ $$a16
000207124 336__ $$aConference Paper/ Presentation
000207124 520__ $$aThe 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.
000207124 542__ $$fLicense granted by Lisa Vang (vang1490@umn.edu) on 2015-07-30T17:44:57Z (GMT):

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000207124 650__ $$aResearch and Development/Tech Change/Emerging Technologies
000207124 650__ $$aTeaching/Communication/Extension/Profession
000207124 700__ $$aSadrsadat, Hadi
000207124 700__ $$aPoorzahedi, Hossein
000207124 700__ $$aHaghani, Ali
000207124 700__ $$aSharifi, Elham
000207124 773__ $$d2012
000207124 8564_ $$s1004315$$uhttp://ageconsearch.umn.edu/record/207124/files/2012_155_Bus_Design_Gen_Algorithm.pdf
000207124 887__ $$ahttp://purl.umn.edu/207124
000207124 909CO $$ooai:ageconsearch.umn.edu:207124$$pGLOBAL_SET
000207124 912__ $$nSubmitted by Lisa Vang (vang1490@umn.edu) on 2015-07-30T17:47:25Z
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  Previous issue date: 2012-03
000207124 982__ $$gTransportation Research Forum>53rd Annual Transportation Research Forum, Tampa, Florida, March 15-17, 2012
000207124 980__ $$a1431