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dc.contributor.authorSuraharta, I Made
dc.contributor.authorSjafruddin, Ade
dc.contributor.authorFrazilla, Russ Bona
dc.contributor.authorDriejana, R.
dc.date.accessioned2013-10-30T07:00:45Z
dc.date.available2013-10-30T07:00:45Z
dc.date.issued2013-09
dc.identifier.citationCantarella, G.E. dan Vitetta, A., 1994, A multicriteria analysis for urban network design and parking location, TRISTAN I Conference Proceedings Capri, p.839-852. Castro, J.T. dan Delos Reyes, M.R.,2010, Estimating Traffic and Emissions for Various Scenarios of Freight Vehicle Restrictions In Metro Manila, Asian Transport Studies, Volume 1, Issue 1, p 4-17. Chiou, S. W.,2005, Bilevel programming for the continuous transport network design problem, Transportation Research Part B, 39, p. 361–383. Crainic, T. G., Florian, M, Leal J. A.,1990, Model for the strategic planning of national freight transportation by rail, Transportation Science, 24( Transportation in Brazil: Methodology and applications, part 1, p.13 - 39. Dafermos, S. C.,1972, The traffic assignment problem for multiple-user transportation networks, Transportation Science, 6( equilibrium problems, Transportation Research, 16B ( Sustainable Transportation. Frazilla, R.B, 2005., Optimising The Design of Freight Transport Network, Desertation, Hiroshima University. Frazila, R.B, Yamada, T., Castro, J.,2004, Freight transport planning in Java Island: an optimisation model for terminal development and network expansion, SCIS & ISIS. Frazila, R. F., Yamada, T., Castro, J.,2004, Modelling multimodal freight transport network towards freight terminal development, Infastructure Planning Review, 21( Transportation Equilibrium and Supply Models Symposium, Montreal, Quebec. Goldberg, D. E.,1989, Genetic Algorithms in Search, Optimisation, and Machine Learning, Addison-Wesley. Kwan, R.S.K., Wren A.,1994, Hybrid genetic algorithms for bus driver scheduling, Tristan II Conference Proceedings, Capri. Kim, B.J. dan Kim, W., 2006, An Equilibrium Network Design Model with a Social Cost for Multimodal Networks, School of Air Transport, Transportation and Logistic, Hankuk Aviation University, South Korea Public Work of Departement of Republic of Indonesia, 1997, Indonesian Highway Capacity Manual. Ruta, S., 2002, The Social Cost of Transport, The World Bank, Washington DC Sheffi, Y., 1985, Urban Transportation Network, Pretince Hall. Sjafruddin, A., Astuti, R.D, Frazilla, R.B., 1999, Regional freight transport demand modeling in the Java island, Journal of the Eastern Asia Society for Transportation Studies, Vol.3. No.3, pp. 303-313. Sofyan, M., 200, Kebijakan Sistem Transportasi Barang Multimoda Untuk Mengurangi Kerusakan Jalan Akibat Beban Berlebih, Desertasi, ITB, Bandung Taniguchi, E., Thomson, R.G, Yamada, T., Duin, R.V., 2001, City Logistic. Tavasszy. L. A., 1996, Modeling European Freight Transport Flows, PhD Thesis, T. U. Delft. Thomas, R.,1991, Traffic Assignment Techniques: Avebury Technical, England. Van Vliet, D.,1978, Improved shortest path algorithms for transport network, Transportation Research, 12( p. 7-20. Van Vliet, D.,1987, The Frank-Wolfe algorithm for equilibrium traffic assignment viewed as a variational inequality, Transportation Research B, 21( network, Transportation Research Record 1364. Yamada, T., Taniguchi, E., Noritake, M.,1999, Optimal location planning of logistics terminals based on multiobjective programming method, Urban Transport V, L.J. Sucharov, ed., WIT Press, p.449-458. Yamada, T., Frazila, R.B., Castro, J.T., 2010, Designing Multimodal Freight Transport Networks : A Heuristic Approach and Applications, Transportation Science, Vol. 43, No. 2, May 2009, p. 129–143en_US
dc.identifier.issn1907-4026
dc.identifier.urihttp://hdl.handle.net/11617/3743
dc.description.abstractFreight movement in urban areas are often faced with competition use of road space with other road users due to limited road space which increased congestion. A less precise selection of freight path between origin destination pairs of freight trip resulted in an increase in cost of goods transport. Both freight operators and road freight transport users have the same goal, which is to minimize their total transportation cost. This research will be conducted an investigation of roads that can be passed with a minimum transport cost by freight for all of pairs of origin destination of goods involved in the road transport network system in such away that could be forming the design of optimum freight network. The optimization goal is to maximize the difference in total cost of freight transportation network system between the existing condition with the condition after optimization. Mathematical models are also included to represent the behavior of the road user traffic. All of optimization process is done in two phases of activity, which is known as the bi-level programming, i.e. the lower and upper level. Lower level contains about the behavior traveling of road users type which showed in traffic assignment process. The solution technique used on this level is user equilibrium assignmnet with diagonalization. Whereas the upper level includes the formulation of the objective function and solution technique for the optimization. The solution technique used is the GA-I, that is the genetic algorithm with additional operators. The research result is a method of urban freight transport network optimization with GA-I which is significantly robust and providing an optimum solution in a short time on a hypothetical network.en_US
dc.publisherUniversitas Muhammadiyah Surakartaen_US
dc.subjectroute choiceen_US
dc.subjecturban freight transport networken_US
dc.subjectmultiuser classen_US
dc.subjectgenetic algoritmen_US
dc.titleOptimation of Urban Freight Transport Network Design By Genetic Algorithmen_US
dc.typeArticleen_US


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