
4f174a7fd39c20a
Ghatee, M., Hashemi, S. (2014). Multiperspective Decision Support System for Hierarchical Bus Transportation Network Design: Tehran Case Study. International Journal of Transportation Engineering, 2(2), 107118. doi: 10.22119/ijte.2014.7873Mehdi Ghatee; Seyed Mehdi Hashemi. "Multiperspective Decision Support System for Hierarchical Bus Transportation Network Design: Tehran Case Study". International Journal of Transportation Engineering, 2, 2, 2014, 107118. doi: 10.22119/ijte.2014.7873Ghatee, M., Hashemi, S. (2014). 'Multiperspective Decision Support System for Hierarchical Bus Transportation Network Design: Tehran Case Study', International Journal of Transportation Engineering, 2(2), pp. 107118. doi: 10.22119/ijte.2014.7873Ghatee, M., Hashemi, S. Multiperspective Decision Support System for Hierarchical Bus Transportation Network Design: Tehran Case Study. International Journal of Transportation Engineering, 2014; 2(2): 107118. doi: 10.22119/ijte.2014.7873
Multiperspective Decision Support System for Hierarchical Bus Transportation Network Design: Tehran Case Study
Article 2, Volume 2, Issue 2, Autumn 2014, Page 107118
PDF (3.7 MB)
Document Type: Research Paper
DOI: 10.22119/ijte.2014.7873
Authors
Mehdi Ghatee ^{} ^{1}; Seyed Mehdi Hashemi^{2}
^{1}Assistant Professor, Department of Computer Science, Amirkabir University of Technology, Terhan, Iran
^{2}Professor, Intelligent Transportation Systems Research Institute, Amirkabir University of Technology, Terhan, Iran
Abstract
In this paper, a multiperspective decision support system (MPDSS) to design hierarchical public transportation network is developed. Since this problem depends on different perspectives, MPDSS consists of two subsystems with macro and micro subsystems based on travel information, land use and expert knowledge. In the micro subsystem, two submodules are developed considering origindestination demand matrix and attractive places to travel. In the first subsystem, based on traffic assignment models, the bus corridors can be extended and by the second approach, connectivity between attractive places can be provided by new bus lanes. Multicommodity flow problem and spanning tree problem are used in these two submodules to assign the public services to the corresponding networks. The corridors obtained from these submodules are evaluated by experts board module. These corridors are used to extend bus rapid transit (BRT), exclusive bus lanes between multiple districts and shuttle buses for trips inside of district. A prototype of MPDSS is developed to illustrate the results on Tehran network. The most important contribution of this paper is to generalize the different mathematical models with land use and expert knowledge which substantially improves the results of network designing problem.
Keywords
Network optimization; DSS; Traffic assignment; simulation; expert system
References
 Ahuja, R. K., Magnanti, T. L. and Orlin, J. B.(1993) ’’Network flows: : Theory, algorithms, and applications”, PrenticeHall, Englewood cliffs.
 Arampatzis, G., Kiranoudis, C.T., Scaloubacas,P. and Assimacopoulos, D. (2004) ’’A GISbased decision support system for planning urban transportation policies’’, European Journal of Operational Research 152, pp. 465475.
 Cantarella, G. E. and Vitetta, A. (2006). ’’The multicriteria road network design problem in an urban area. Transportation’’, 33, pp.567588.
 Cheung, W., Leung, L.C. and Tam, P. C. F. (2005) “An intelligent decision support system for service network planning”, Decision Support Systems 39, pp.415428.
 Daganzo, C. F. (2010). “Structure of competitive transit networks”, Transportation Research Part B 44, pp.434446.
 Ehlert, A., Bell, M.G.H. and Grosso, S. (2006) “The optimisation of traffic count locations in road networks Original”, Transportation Research Part B 40, pp.460. 479.
 ElFaouzi, N.E., Leung, H. and, Kuriand, A. (2011). “Data fusion in intelligent transportation systems: Progress and challenges, A survey”, Information Fusion 12, pp. 410.
 Fierbinteanu, C. (1999) “A decision support systems generator for transportation demand forecasting implemented by constraint logic programming”, Decision Support Systems 26, pp.179194.
 Ghatee, M. and Hashemi, S. M. (2008) “Generalized minimal cost flow problem in fuzzy nature: An application in bus network planning problem”, Applied Mathematical Modelling 32, pp.24902508.
 Ghatee, M. and Hashemi, S. M. (2009) “An expert system for network control problems and its applications in large scale network design under uncertainty”, International Network Optimization Conference (INOC), Pisa.
 Guha, S., Meyersont, A. and Munagalat, K. (2000) “Hierarchical placement and network design problems”, Proceedings of 41st Annual Symposium on Foundations of Computer Science, IEEE, 0769508502/00.
 Jeon, C.M. and Amekudzi, A. (2005) “Addressing sustainability in transportation systems: Definitions, indicators and metrics”, Journal of Infrastructure Systems 11, pp.3150.
 Jimenez, F. and Verdegay, J. L. (1999) “Solving fuzzy solid transportation problems by an evolutionary algorithm based parametric approach”, European Journal of Operational Research 117, pp.485510.
 Kim, K, S., Cheon, S. H. and Lim, S. J. (2011) “Performance assessment of bus transport reform in Seoul”, Transportation 38, pp.719735.
 Kolli, S. S. , Damodaran, P. S. and Evans, G. W. (1993) “Geographic information system based decision support systems for facility location, routing, and scheduling”, Computers & Industrial Engineering, 25, pp369372.
 Lin, J. J. and Yu, C. J. (2012) “A bikeway network design model for urban areas”, Transportation, DOI 10.1007/s1111601294096.
 Lou, Y., Yin, Y. and Leval, J. (2011) “Optimal dynamic pricing strategies for highoccupancy toll lanes”, Transportation Research Part C 19, pp.6474.
 Mussone, L., GrantMuller S. and Chen, H. (2010) “A neural network approach to motorway OD matrix estimation from loop counts”, Journal of Transportation Systems Engineering and Information Technology 10, pp.8898.
 Saaty, T. L. (2004) “Decision makingThe analytic hierarchy and network processes (AHP/ANP)”, Journal of Systems Science and Systems Engineering 13, pp.135.
 Santos, L., CoutinhoRodrigues, J. and Current, J. R. (2008) “Implementing a multivehicle multiroute spatial decision support system for efficient trash collection in Portugal”, Transportation Research Part A 42, pp. 922934.
 Sheffi, Y. (1985) “Urban transportation networks: Equilibrium analysis with mathematical programming methods”, PrenticeHall, USA.
 Shimamoto, H., Murayama, N., Fujiwara, A. and Zhang, J. (2010) “Evaluation of an existing bus network using a transit network optimisation model: a case study of the Hiroshima city bus network”, Transportation 37,. 801823.
 Talvitie, A. (2006) ”Experiential incrementalism:On the theory and technique to implement transport plans and policies”, Transportation 33, pp.83110.
 Ulengin, F., Onsel, S., Topcu, Y.I., Aktas, E. and Kabak, O. (2007) “An integrated transportation decision support system for transportation policy decisions: The case of Turkey”, Transportation Research Part A 41, pp.8097.
 Wang, Y., Yang, L., Geng, Y. and Zheng, M. (2010) “OD matrix estimation for urban expressway”, Journal of Transportation Systems Engineering and Information Technology 10, pp.8387.
StatisticsArticle View: 2,222PDF Download: 2,925