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مهدی قطعی
(Mehdi Ghatee)

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Personal Details

First Name:Mehdi
Middle Name:
Last Name:Ghatee
Suffix:Sr.
RePEc Short-ID:pgh119
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http://www.aut.ac.ir/ghatee
Office 343, Department of Computer Science, Faculty of Mathematics and Computer Science, Amirkabir University of Technology, Hafez Ave., Tehran 15875-4413, Iran. Fax: +9821 66497930 Tel: +98 21 64542510 , Mobile: +98 917 3208106 E-mail Addresses: ghatee {@} aut.ac.ir
+98 21 64542510

Affiliation

دانشگاه صنعتی امیرکبیر (Amirkabir University of Technology)

http://www.aut.ac.ir
Iran, Tehran

Research output

as
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Articles

  1. Abpeykar, Shadi & Ghatee, Mehdi & Zare, Hadi, 2019. "Ensemble decision forest of RBF networks via hybrid feature clustering approach for high-dimensional data classification," Computational Statistics & Data Analysis, Elsevier, vol. 131(C), pages 12-36.
  2. Hamid Reza Eftekhari & Mehdi Ghatee, 2017. "The lower bound for dynamic parking prices to decrease congestion through CBD," Operational Research, Springer, vol. 17(3), pages 761-787, October.
  3. Ashkan Fakhri & Mehdi Ghatee, 2013. "Solution of preemptive multi-objective network design problems applying Benders decomposition method," Annals of Operations Research, Springer, vol. 210(1), pages 295-307, November.
  4. Ghatee, Mehdi & Hashemi, S. Mehdi, 2009. "Traffic assignment model with fuzzy level of travel demand: An efficient algorithm based on quasi-Logit formulas," European Journal of Operational Research, Elsevier, vol. 194(2), pages 432-451, April.

Citations

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Articles

  1. Hamid Reza Eftekhari & Mehdi Ghatee, 2017. "The lower bound for dynamic parking prices to decrease congestion through CBD," Operational Research, Springer, vol. 17(3), pages 761-787, October.

    Cited by:

    1. Semeneh Hunachew Bayih & Surafel Luleseged Tilahun, 2024. "Dynamic vehicle parking pricing. A review," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 34(1), pages 35-59.

  2. Ghatee, Mehdi & Hashemi, S. Mehdi, 2009. "Traffic assignment model with fuzzy level of travel demand: An efficient algorithm based on quasi-Logit formulas," European Journal of Operational Research, Elsevier, vol. 194(2), pages 432-451, April.

    Cited by:

    1. Ji, Xiangfeng & Zhou, Xuemei & Ran, Bin, 2013. "A cell-based study on pedestrian acceleration and overtaking in a transfer station corridor," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(8), pages 1828-1839.
    2. Temelcan, Gizem & Kocken, Hale Gonce & Albayrak, Inci, 2021. "Fuzzy modelling of static system optimum traffic assignment problem having multi origin-destination pair," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    3. MacGregor Smith, J. & Cruz, F.R.B., 2014. "M/G/c/c state dependent travel time models and properties," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 560-579.
    4. Zhou, Bojian & Li, Xuhong & He, Jie, 2014. "Exploring trust region method for the solution of logit-based stochastic user equilibrium problem," European Journal of Operational Research, Elsevier, vol. 239(1), pages 46-57.
    5. Cruz, F.R.B. & van Woensel, T. & MacGregor Smith, J. & Lieckens, K., 2010. "On the system optimum of traffic assignment in M/G/c/c state-dependent queueing networks," European Journal of Operational Research, Elsevier, vol. 201(1), pages 183-193, February.

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