One of the most interesting subjects to both traortation authorities and researchers is to select among candidate roads to be added to the existing traortation network . In addition to the road selection, the scheduling of road construction projects are also important. Integration of selecting and scheduling projects into a single model increases the accuracy of results; however it leads to more complexity. In this thesis, an integrated model for selecting, scheduling, and budgeting urban road construction projects is presented as a multi-objective time-dependent bi-level network design problem, which has not been hitherto addressed in the art. The proposed model is more flexible than previous ones in the literature. It is assumed that construction duration of a road is not specified initially and it will depend on technical limitations and budget allocation. Two new measures are presented to assess network design scenarios from the perspectives of user satisfaction over time and spatial equity. These two measures alongside the total travel time constitute the objective functions of upper-level problem. Given the great complexity of the intended problem, at first, a general evolutionary framework is proposed to solve the model, and then, a priori, a posteriori and interactive approaches are presented based on the proposed framework. Each proposed approach is a novel combination of various well-known techniques. The main difficulty in solving the model is due to the large number of subsequent network traffic assignment problems that should be solved which makes the solution process very time-consuming. Therefore, a procedure is proposed to overcome this difficulty by significantly reducing the traffic assignment problem solution time. In order to verify the performance of the proposed approaches, various test problems of different scales are applied to Sioux Falls urban traortation network. Numerical results show that the proposed approaches have acceptable performance in terms of both solution quality and solution time . In order to investigate the applicability of the proposed model and the solution approach on large scale problems, Isfahan city’s traortation network is considered and the proposed methodology is implemented.
