Road maintenance planning model based on neural networks

Geographically distributed defects of roads, as well as machines used to maintain them are represented as a set of defects and a set of repair mechanisms for road network infrastructure, respectively. Each element of the set of defects has a certain rate of loss in the case of its realization. On the other hand, every element of the set of repair mechanisms possesses certain value and efficiency with respect to subset of the covered defects. An algorithm to define the subset of elements belonging to the set of repair mechanisms (which ensures the minimum of uncovered loss under given value of repair mechanisms) is developed. The problem is solved involving neural network basis.