ABSTRACT
Operations research is a discipline that encompasses a wide range of methods in solving real-life decision-making problems. The mathematical methods are applied in pursuit of improving decision-making and efficiency in the areas of mathematical optimization, econometric methods, simulation, neural networks, decision analysis, and the analytic hierarchy process. In an optimization problem, there are mainly two perspectives, namely, formulation of the model and then finding its solution. According to the market situations, the decision maker has some knowledge of approximate profit connecting with the optimum transportation cost. In future study, multi-objective transportation planning should be integrated in the different areas of study, such as networks, stations, user information, and fare payment systems. The proposed model of multi-objective transportation problem can be used in the selection of modes in a variety of transportation improvement policies, such as mobility management strategies, pricing reforms, and smart growth land use policies.
