Multi-Horizon Machine Learning for Bridge Deterioration Prediction and Risk-Based Maintenance Decision-Making
An integrated multi-horizon framework for bridge management agencies that eliminates trajectory incoherence entirely, and allocates a per-period budget by maximising discounted, consequence-weighted risk averted, solved as a linear-programming relaxation of a multiple-choice knapsack is proposed.