2025, Vol. 6, Issue 2, Part A
Queueing theory and game theory approach for congestion pricing models in urban transportation networks
Author(s): Zana Najm Abdullah Nasrallah
Abstract: To this end, a dynamic congestion pricing of urban road network is studied in this paper based on queueing theory and game theory. The model updates the price with respect to time based on current congestion levels, attempting to equate the supply and demand of lands, thus decreases the expected waiting time for passengers as well as increasing their satisfaction. Numerical studies indicate that dynamic pricing is promising for congestion alleviation and passengers’ behaviors changing as well as the increasing revenues of transport operators. The research identifies this method could have applications for the optimisation of urban transport networks, improving network efficiency and guaranteeing equitable access. It includes practical advice for policy makers who want to ensure that congestion management will be both efficient and sustainable.
Pages: 46-55 | Views: 656 | Downloads: 299
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How to cite this article:
Zana Najm Abdullah Nasrallah. Queueing theory and game theory approach for congestion pricing models in urban transportation networks. Journal of Mathematical Problems, Equations and Statistics. 2025; 6(2): 46-55.
