Nowadays Smart traffic sensor network is considered as one of the newest ways of data acquisition in traffic management which with the possibility of intelligent monitoring of urban roads, leads to road accident reduction. Despite the importance of installing and deployment of such equipment, the most important concern is to determine the optimal location for their installations. Therefore, what we are aiming at in this research, is to provide a suitable method to optimize the location of traffic sensors. The proposed method is a combination of FUZZY AHP and TOPSIS method. It should be noted that, in order to test the proposed method in this study, part of the urban road network in North America was selected as sample data. In the next step, according to traffic experts, the criteria for determining the optimal location were selected which included average annual traffic, crash severity, average slope and the distance of each connection in the urban network to places requiring traffic control. The FUZZY hierarchy method was used to determine the significance of input criteria. This method using FUZZY numbers in a pairwise comparison of criteria to calculate their weights, leads to an increase in the accuracy of computations. In the next stage, the weights calculated using TOPSIS method were used to rank the urban connections in the study area.
Eventually, after applying the above analysis using the score obtained from TOPSIS method, urban connections in the study area were classified in 3 different categories. Urban connections in the 1^st category were selected as the ones with the highest priority for the installation of sensors. Therefore, these connections will be the top priority for the installation of traffic sensors.