Abstract: Systems and methods for data-driven recommendations during infrastructure project design. Input data, which may comprise technical data and stakeholder data, is passed to a design module. Based on that data, the design module recommends a design for the infrastructure project and recommends components to be used in the design. The design is then passed to a fleet selection module for identifying logistical needs of the design; to a cost estimation module for predicting the cost of the design; to a deterioration-forecaster module for predicting the rate of deterioration of the design components; and a scheduling module for scheduling construction tasks while accounting for logistical needs. The user is then presented with a project design and that design's logistical requirements, projected costs, likely maintenance requirements, and scheduling needs. The user may modify the design and the system may recommend additional modifications.

Abstract: Systems and methods for data-driven recommendations during infrastructure project design. Input data, which may comprise technical data and stakeholder data, is passed to a design module. Based on that data, the design module recommends a design for the infrastructure project and recommends components to be used in the design. The design is then passed to a fleet selection module for identifying logistical needs of the design; to a cost estimation module for predicting the cost of the design; to a deterioration-forecaster module for predicting the rate of deterioration of the design components; and a scheduling module for scheduling construction tasks while accounting for logistical needs. The user is then presented with a project design and that design's logistical requirements, projected costs, likely maintenance requirements, and scheduling needs. The user may modify the design and the system may recommend additional modifications.