Design of Transport Networks by means of a variant of the Physarum Model
DOI:
https://doi.org/10.33414/rtyc.43.79-95.2022Keywords:
Transportation Networks, Physarum, Finite ElementsAbstract
The problem of transportation network design, knowing the feasible network topology and the trip origin-destination matrix, is considered. The objective is to obtain the link capacities that allow to satisfy the passengers (or vehicles) demand minimizing, simultaneously, the path lengths of users and the construction cost of the network. The mathematical model, based on an analogy with the foraging behaviour of a biological organism (Physarum Polycephalum), consists in an iterative procedure that converges to the transport “system-optimum”. Moreover, this methodology is combined with an approach of variables reduction, based on the Finite Element Method, to minimize the computational burden required for analyzing large networks.
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Akhand, M. A. H, Habib, M. A., Kamal, M. A. S. y Siddique, N. (2021). Physarum-inspired bicycle lane network design in a congested megacity. Applied Sciences 11, 6958.
Bonifaci, V., Mehlhorn, K. y Varma, G. (2012). Physarum can compute shortest paths. Journal of Theoretical Biology 309, 121-133.
Cortínez, V.H. y Dominguez, P.N. (2017). An anisotropic continuum model for traffic assignment in mixed transportation networks. Applied Mathematical Modelling 50, 340-353.
Cortínez, V.H. y Dominguez, P.N. (2018). Una nueva interpretación del modelo Physarum para el problema de asignación de tráfico en equilibrio de usuario. Mecánica Computacional XXXVI, AMCA (ISSN: 2591-3522), 2089-2098.
Cortínez, V.H. y Dominguez, P.N. (2021). A finite element approach for the traffic assignment problem. Transportation Research Procedia 58, 13–20.
Chandrupatla, D.R y Belegundu, A.D. (2012). Introduction to finite elements in engineering, 4th ed. Ed. Pearson.
Dionne, R. and Florian M. (1979). Exact and approximate algorithms for optimal network design. Networks 9, 37-59.
Dominguez, P.N. y Cortínez, V.H. (2015) Tráfico y medioambiente: un modelo para el diseño óptimo de redes de transporte urbano. Actas del XVII Congreso Chileno de Ingeniería de Transporte, Octubre 2015, Concepción, Chile.
Dominguez, P.N., Cortínez, V.H. y Stoklas, C.I. (2021). Un enfoque de elementos finitos para el problema generalizado de asignación de tráfico. Mecánica Computacional XXXVIII, AMCA (ISSN: 2591-3522), 1427-1436.
Houbraken, M., Demeyer, S. Staessens, D., Audenaert P., Colle, D. y Pickavet M. (2013). Fault tolerant network design inspired by Physarum polycephalum. Natural Computing 12:2, 277-289.
Miandoabchi, E., Daneshzand, F., Szeto, W.Y. y Farahani, R.Z. (2013) Multiobjective discrete urban road network design. Computers and Operations Research, 40, 2429-2449.
Sheffi, Y. (1985). Urban Transportation Networks: Equilibrium analysis with mathematical programming methods. Prentice-Halls Inc.
Tero, A., Kobayashi, R. y Nakagaki, T. (2007). A mathematical model for adaptive transport network in path finding by true slime mold. Journal of Theoretical Biology 244, 553-564.
Tero, A., Takagi, S., Saigusa, T., Ito, K., Bebber, D.P., Fricker, M.D., Yumiki, K., Kobayashi, R. y Nakagaki, T. (2010). Rules for biologically inspired adaptive network design. Science 327, 439-442.
Watanabe, S., Tero, A., Takamatsu, A. y Nakagaki, T. (2011). Traffic optimization in railroad networks using an algorithm mimicking an amoeba-like organism, Physarum plasmodium. BioSystems 105, 225-232.
Xu, S., Jiang, W., Deng, X. y Shou, Y. (2018). A modified Physarum-inspired model for the user equilibrium traffic assignment problem. Applied Mathematical Modelling 55, 340-353.
Zhang, X., Adamatzky, A., Chan, F., Deng, Y., Yang, H., Yang, X., Tsompanas, M., Sirakoulis, G. y Mahadevan, S. A (2015). Biologically inspired network design model. Nature, Scientific Report (DOI:10.1038/srep10794).
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Copyright (c) 2022 Víctor Hugo Cortínez, Patricia Neri Dominguez
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