Hub location-allocation problems are currently a subject of keen interest in the research community. However, when this issue is considered in practice, significant difficulties such as traffic, commodity transportation and telecommunication tend to be overlooked. In this paper, a novel robust mathematical model for a p-hub covering problem, which tackles the intrinsic uncertainty of some param...

Transportation problem is a linear programming which considers minimum cost for shipping a product from some origins to other destinations such as from factories to warehouse, or from a warehouse to supermarkets. To solve this problem simplex algorithmis utilized. In real projects costs and the value of supply and demands are fuzzy numbers and it is expected that optimal solutions for determini...

This paper presents an initial investment cost analysis of public transportation systems operating with wireless charging electric vehicles (EVs). There are three different types of wireless charging systems, namely, stationary wireless charging (SWC), in which charging happens only when the vehicle is parked or idle, quasi-dynamic wireless charging (QWC), in which power is transferred when a v...

In this general equilibrium framework, the transportation sector is modeled as a distinct sector with increasing returns. A more advanced technology has a higher fixed cost but a lower marginal cost of production. Even with both manufacturing firms and transportation firms engage in oligopolistic competition and choose technologies optimally, the model is tractable and results are derived analy...

We present a primal–dual memory efficient algorithm for solving a relaxed version of the general transportation problem. Our approach approximates the original cost function with a differentiable one that is solved as a sequence of weighted quadratic transportation problems. The new formulation allows us to solve differentiable, non– convex transportation problems.

This perspective explores how transportation decision-making can better support public health objectives, including reduced crashes and pollution emissions and increased physical activity. Conventional transportation planning tends to overlook negative health impacts resulting from increased motor vehicle travel and potential health benefits from shifts to alternative modes. Raising the priorit...

In this paper, a parametric method is introduced to solve fuzzy transportation problem. Considering that parameters of transportation problem have uncertainties, this paper develops a generalized fuzzy transportation problem with fuzzy supply, demand and cost. For simplicity, these parameters are assumed to be fuzzy trapezoidal numbers. Based on possibility theory and consistent with decision-m...

Traditionally, the design of a transportation system has focused on one of the two systems that comprise the transportation architecture, the vehicle or the network design. However, to define a systems level architecture for a transportation system, it is necessary to expand the system definition during the design process to include the network definition, the vehicle architecture, and the oper...

A new algorithm namely, fuzzy zero point method is proposed for finding a fuzzy optimal solution for a fuzzy transportation problem where the transportation cost, supply and demand are trapezoidal fuzzy numbers. The optimal solution for the fuzzy transportation problem by the fuzzy zero point method is a trapezoidal fuzzy number. The solution procedure is illustrated with numerical example. Mat...

background: high prevalence and increasing rate of asthmatic patients around the word witnesses the high burden of asthma. we have limited data on asthma burden and economic costs in iran. this study aimed to find direct and indirect economic costs of asthma and their association with some background factors in one of the referral tertiary centers for adult patients with asthma. methods: we sur...