Abstract
This paper focuses on the system optimum traffic assignment problem (SOTAP) which aims to minimize total system travel time on a network between specified origin and destination pair. In order to represent a real-life problem dealing with imprecise data; by using fuzzy theory, the system optimum fuzzy traffic assignment problem (SOFTAP) is modeled. As a fully fuzzy quadratic programming problem (QPP), SOFTAP has linear fuzzy constraints and a nonlinear objective function expressed by sum of multiplications of each fuzzy link flow and corresponding fuzzy link travel time. Similar to the literature, BPR function is used as the link travel time function. To determine fuzzy link capacity and free flow fuzzy link travel time, average speed and vehicle length are taken as triangular fuzzy numbers and path lengths and number of lanes are taken as crisp numbers. Due to the imprecision of parameters, the travel demand of the network is also constructed as a triangular fuzzy number. Finally, SOFTAP is solved by a ranking function methodology. A numerical experiment is illustrated for the awareness of solution process.
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References
Beckmann, M., McGuire, C.B., Winsten, C.B.: Studies in the Economics of Transportation. Oxford University Press, London (1956)
Sheffi, Y.: Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Methods. Pretince Hall, Englewood Cliffs (1985)
LeBlanc, L.J., Morlok, E.K., Pierskalla, W.P.: An efficient approach to solving the road network equilibrium traffic assignment problem. Transp. Res. 9(5), 309–318 (1975)
Carey, M., Ge, Y.E.: Comparing whole-link travel time models. Transp. Res. Part B Methodol. 7(10), 905–926 (2003)
Kachroo, P., Sastry, S.: Traffic assignment using a density-based travel-time function for intelligent transportation systems. IEEE Trans. Intell. Transp. Syst. 17(5), 1438–1447 (2016)
Chang, M.S., Chen, H.K.: A fuzzy user-optimal route choice problem using a link-based fuzzy variational inequality formulation. Fuzzy Sets Syst. 114(2), 339–345 (2000)
Binetti, M., De Mitri, M.: Traffic assignment model with fuzzy travel cost. In: Proceedings of the 13th Mini-EURO Conference on Uncertainty in Transportation, Bari, Italy, pp. 805–812 (2002)
Ridwan, M.: Fuzzy preference based traffic assignment problem. Transp. Res. Part C Emerg. Technol. 12(3), 209–233 (2004)
Liu, S.T., Kao, C.: Network flow problems with fuzzy arc lengths. IEEE Trans. Syst. Man Cybern. Part B (Cybern.) 34(1), 765–769 (2004)
Ramazani, H., Shafahi, Y., Seyedabrishami, S.E.: A fuzzy traffic assignment algorithm based on driver perceived travel time of network links. Sci. Iranica 18(2), 190–197 (2011)
Miralinaghi, M., Shafahi, Y., Anbarani, R.S.: A fuzzy network assignment model based on user equilibrium condition. Sci. Iranica. Trans. A Civ. Eng. 22(6), 2012–2023 (2015)
Temelcan, G., Gonce Kocken, H., Albayrak, I.: System optimum fuzzy traffic assignment problem. Promet-Traffic Transp. 31(6), 611–620 (2019)
Yang, R., Wang, Z., Heng, P.A., Leung, K.S.: Fuzzy numbers and fuzzification of the choquet integral. Fuzzy Sets Syst. 153(1), 95–113 (2005)
Lee, K.H.: First Course on Fuzzy Theory and Applications, vol. 27. Springer, Heidelberg (2005)
He, X., Guo, X., Liu, H.X.: A link-based day-to-day traffic assignment model. Transp. Res. Part B Methodol. 44(4), 597–608 (2010)
Lu, Z., Meng, Q., Gomes, G.: Estimating link travel time functions for heterogeneous traffic flows on freeways. J. Adv. Transp. 50(8), 1683–1698 (2016)
Mtoi, E.T., Moses, R.: Calibration and evaluation of link congestion functions: applying intrinsic sensitivity of link speed as a practical consideration to heterogeneous facility types within urban network. J. Transp. Technol. 4(2), 141–149 (2014)
Inoue, S.I., Maruyama, T.: Computational experience on advanced algorithms for user equilibrium traffic assignment problem and its convergence error. Procedia-Soc. Behav. Sci. 43, 445–456 (2012)
Tajtehranifard, H., Bhaskar, A., Nassir, N., Haque, M.M., Chung, E.: A path marginal cost approximation algorithm for system optimal quasi-dynamic traffic assignment. Transp. Res. Part C Emerg. Technol. 88, 91–106 (2018)
Boyce, D., Ralevic-Dekic, B., Bar-Gera, H.: Convergence of traffic assignments: how much is enough? J. Transp. Eng. 130(1), 49–55 (2004)
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Temelcan, G., Gonce Kocken, H., Albayrak, I. (2021). Solving the System Optimum Static Traffic Assignment Problem with Single Origin Destination Pair in Fuzzy Environment. In: Allahviranloo, T., Salahshour, S., Arica, N. (eds) Progress in Intelligent Decision Science. IDS 2020. Advances in Intelligent Systems and Computing, vol 1301. Springer, Cham. https://doi.org/10.1007/978-3-030-66501-2_41
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