Solving Transit Network Design Problem Using Many-Objective Evolutionary Approach

In many cities around the world, private vehicles are increasingly causing severe traffic congestion, pollution, and accidents. Public transports have been widely recognized as an effective way to improve urban life. To dissuade citizens from using private vehicles, it is necessary to design a practical, efficient, and economical public bus network. The transit network design problem (TNDP) determines the transit network (i.e., public bus network) for a city. It involves different stakeholders with diverse interests and values. To capture their conflicting expectations, numerous optimization objectives arise naturally. This paper introduces the TNDP as a many-objective optimization problem that generates a diverse set of alternative solutions. We apply several state-of-the-art many-objective evolutionary algorithms for the newly formulated TNDP. To efficiently explore…