There is a reciprocal relation between the ticket price and the travel demand. In other words, the income of the system will grow if the ticket price increases. On the other hand if the ticket price increases, the number of absorbed passengers and income of the system will decrease. So there is an optimum price in order to maximize the income that comes from modeling. This study (with respect to financial and economic costs) tries to define an appropriate method for determining the price of rail systems. The purpose of this method is to determine the optimum price due to provide the construction, rolling stuck, operation and maintenance costs with the profits obtained by ticket selling and also improve economical profits of the project for the whole society such as decreasing in environmental deteriorations and increasing in social welfare. For this purpose, a program is produced in Excel-Visual basic's Environment which includes some subroutines working related to each other. The main chief of this program with making the profile of benefits and costs flow calculates the economical and financial indicators of the project. Other subroutines, including mode choice model, programs for calculating the salvage value, V.O.C., number of rolling stuck and the program for preparing a schedule of the appropriate time for buying rolling stuck, with respect to the model, estimate several costs and benefits of the project. It should be noted that the act of buying rolling stuck must be done in some stages, in that the system does not confront the lack of rolling stuck and also it does not require spending invests before the determined time. These programs are done, in accordance to information of Qazvin-(new city of) Hashtgerd railway system project, which five years is assumed for its construction period and it will absorb passengers within 1396. Moreover, 30 years are assumed as the lifetime for this project. Finally, with this case study and by sensitivity analysis of financial and economical indicators of the project versus the ticket price, the optimum ticket price which maximizes the income is obtained. The amounts of economical indicators of this project, considering the constructing road length of 70 kilometers with 6 stations in this route, and operating length of 140 kilometers with 16 stations, are evaluated very well. Among the other results of this study, it contains decreasing the economic-return rate of the project versus increasing the gas price. This subject demonstrates that increasing in the gasoline price individually has some economical costs (such as decreasing the environmental deteriorations) for the society. Keywords: Pricing, IRR, Economic Analysis, Rail traortation