In this paper, a method is proposed for solving an unbalanced fuzzy transportation problem without converting into a balanced one. The advantage of this method is that it gives an optimal solution. In the proposed method transportation costs, demand and supply are represented by triangular fuzzy numbers. To illustrate the proposed method, a numerical example is solved and the obtained result is...

Public transport systems are generally organized in a static, a priori way. In such systems, the demand must be adapted to the offer. In this paper, we propose a model based on self-organization in order to dispatch a fleet of vehicles in a purely dynamic Transportation On Demand system (TOD). Our proposal consists in a decentralized approach and a multi-agent system (MAS) to model the environm...

Despite the obstacles caused by the data constraints and diversity of industrial structure, analysis of the service sector is growing in importance. Focusing on one service industry in particular—freight transportation—a research team led by Senior Fellow Yoko Konishi set about analyzing the time cost as well as the monetary cost—cost of gasoline, expressway tolls, drivers' wages, and so forth—...

In the past decades a wide variety of transportation planning issues has come to the fore, addressing both the supply and the demand side. In this context a (seemingly) wide variety of different transportation models both static and dynamic, both microand macrooriented has been developed. The main question to be answered is whether this wide variety of transportation models (e.g., dynamic model...