Abstract
ABSTRACTThis paper discusses the network design problem (NDP), solved for travel time minimization and road safety maximization. Similarly to other NDP models, the model is formulated as a bi-level multi-objective optimization problem. The estimation of the system time benefit and safety benefit is performed using previously developed methods. Two different approaches are applied and discussed for solving the problem: the constrained multi-objective optimization and the multi-objective genetic algorithm. Both approaches are tested on a real-size network, using a large set of candidate projects. The paper presents a discussion regarding the different optimal solutions obtained, emphasizing the relative attractiveness of the candidate projects.
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