With the development of global transportation infrastructure, the transportation field has transferred its focus to transportation infrastructure asset management (TIAM). The optimized strategy design for TIAM has been studied by many more researchers and scholars recently, and their common focus is how to realize different benefits at the same time. Through the analysis of strategies data and the current methodologies in the field of optimization, this paper established a model with multiple objectives, solved by a genetic algorithm (GA), and improved the GA to provide a theoretical method. It then uses a North American City Road network as an example. The results show that this model is efficient to the network-level TIAM optimized strategy design, which would contribute to the TIAM work in other countries and areas around the world.
展开▼