Congestion in urban areas is a major problem and imposes huge costs to society. Congestion is a consequence of increased traffic flow in certain locations of large cities. Those locations are normally historical, recreational, or touristic sites, which attract a lot of people. Nowadays, travel demand growth rate has surpassed traortation facility supply growth rate. Thus, "predict and provide" is no longer a valid approach to solve traortation problems, rather Traortation Demand Management is a popular approach. A common method to mitigate congestion is to implement one-way streets. This method provides the ability to prevent congestion by managing traffic flow through network. The aim of this thesis is to find a good selection of urban streets to be one-way, to prevent congestion in areas of interest. The selected streets should then carry the minimum through traffic and mostly serve attracted trips to that certain area of interest. Also, turning two-way streets to one-way should pose minimum impact on total travel time of the city network. Therefore, this thesis introduces some indexes to identify important streets to be one-way. Next, different scenarios are made to combine variety of those selections. Total network travel time and the local travel time for the area of interest are then calculated for each scenario. Eventually, since we have two objective functions, we apply multi-objective decision making approach to achieve the best scenario. The algorithm is applied to Sioux Falls network and results are analyzed. Also to present if the mentioned algorithm is functional on major traort large network, it was run on Isfahan traort network. According to experts, selected area that was diagnosed is the banks of Zayanderud River and the best streets to divert the traffic from Zayanderud’s side roads were obtained Motahari St. and Lonban Mosque St.
