One of the biggest and main problems of cities, especially big cities, is the problem of urban traffic. Considering the effects of urban traffic on various dimensions of citizens' lives and the importance of transportation as the pulse of the life of cities, it is very important to determine strategies and policies to control and reduce traffic. Also, following the issue of urban transportation, issues such as air pollution, fuel consumption and traffic congestion are also raised. In this research, firstly, the dynamic modeling of traffic behavior in big cities and the required definitions are discussed, then the model is simulated with the data of Tehran city, and finally, policies are presented to improve traffic in Tehran city. To obtain the relationship between the variables, the regression method and interviews with elites have been used.
Among the simulated policies, the policy of increasing the length of urban passages is the least effective, and the results of the model show that increasing the length of the metro line alone will not reduce long-term traffic in cities. The best policies also include the policy of increasing the cost of using personal transportation, the policy of creating an electronic city, the Transit Oriented Development (TOD) and the balance of the distance between the workplace and education and the place of residence.
e.