Bridges, the most important road infrastructure in construction and operation conditions, are constantly exposed to the crisis of depreciation and destruction. With the reduction of government budgets and the consequent reduction of their Maintenance credits, the approach of this crisis to a disaster is implausible. In such a situation, a dynamic and comprehensive system that can appropriately prioritize limited budget allocation is undoubtedly desirable for the trustees. This system is called Bridge Management System (BMS). This research seeks to investigate the capacities of improving the management system of road Bridges in Iran. For this purpose, a library study method has been used to examine the findings of other researchers in the field of BMS improvement potentials. The result of this study is the selection of three techniques of project risk management, comprehensive quality management and data mining, whose functions and characteristics to be able to match and improve BMS functions. A field study tested the improved performance of BMS in front of Bridge Maintenance operators in the country. The final result of the research showed that the proposed improved performance. It has raised the expectations of the operators of the Maintenance of Iranian Bridges in a general and step-by-step manner.

Today"s the transportation facilities such as terminals, street, Bridge, etc, represent the ‎major investment in highway network. Every year tremendous resources should be ‎invested to maintain these facilities. Among them, the Bridge Management System ‎‎(B.M.S) has been necessitated by large imbalance between extensive Bridge repair ‎and Maintenance needs and limited available budget. So the main purpose of this ‎research study is to develop an optimization methodology to allocate the limited ‎resource among the most Bridge Maintenance demanded projects. The reduction of ‎user cost or increased the user benefit can be considered as the main objective ‎function of the developed Dynamic Programming Optimization Model. The results of ‎the implementing of optimization model shows a tremendous cost savings, and as a ‎result, more demanded Bridge requiring the Maintenance can be selected‏.‏

Bridges are the key element of land transportation and due to the large number and cost of construction, the Maintenance of these huge assets is very important. As the financial resources are usually limited, selecting and prioritizing Bridges for Maintenance is complicated. Therefore, by using Bridge management system (BMS) software, Bridge Maintenance is done more quickly and accurately. In this study, using the Hierarchical Analytical System (AHP) method, first the criteria and parameters affecting the management of the Bridge have been determined and then the importance of the mentioned parameters has been studied and analyzed based on the opinion of experts. Finally, it has been concluded that "design according to codes and regulations", "quality of materials" and "quality and accuracy of construction" are the most important criteria that must be considered before starting the operation of the Bridge. Furthermore, effective parameters in Bridge management system software are "user safety", "type, number and severity of defects" and "Maintenance costs". Thus, the desired criteria and parameters according to the priority can be used in prioritization models and budget allocation.

In today's world, communication between different communities is a must. One ofthe mechanisms of communication between humans has been the use of the Bridgeindustry. Bridges can have an impact on the communication between two sectionsor two different geographical areas. In this study, it was found that the use of Bridges includes two operations of Bridge construction or Bridge reconstruction. Due toresource constraints and issues related to the location of the new area and theexorbitant construction costs, the reconstruction of old Bridges is considered a suitable approach. Therefore, some important candidate factors exist for thereconstruction of old Bridges that should rank to help managers get an efficient decision. Meanwhile, this study proposed an intuitionistic fuzzy integrated-basedcompromise solution (CS) and DEMATEL approach to rank the candidate bycomputing experts’,weights and determining criteria importance, respectively. Inaddition, the proposed approach is developed based on the last aggregationapproach to prevent data loss during the preferences integration. Besides, a real casestudy of the Bridge Maintenance operation is proposed in Rasht city of Iran torepresent the implementation procedure of the proposed IF-integrated approach. The results indicate that the pipeline project of water supply lines is considered as the best candidate among the four Maintenance models candidate. Finally, the proposed method was compared with the TOPSIS method to indicate the validityand the efficiency of the proposed method and emphasize its appropriateness.