Bridge-Level Optimization Module for Planning and Programming

The paper briefly introduces an element-based multi-objective optimization (EB-MOO) methodology to support state departments of transportation with their decision-making process, asset management, and performance-based planning programming. focuses on the bridge class consists five modules: (i) data processing, (ii) improvement, (iii) element-level (ELO), (iv) bridge-level (BLO), (v) network-level (NLO) modules. These modules jointly produce short- long-term intervention strategies detailed at element level for BLO module, specifically: basic framework underlying processes concepts, problem types mathematical formulations, heuristic algorithm solve problems. A prototyping tool is developed implement these EB-MOO methodology, test prove effectiveness, demonstrate potential benefits. also includes illustrative example using tool. problems under different budget and/or performance scenarios. implementation proves module’s capability in producing a diverse set Pareto optimal or near-optimal solutions, recommending actions timings, predicting performance, determining requirements entire program period. results associated recommended solutions serve as fundamental inputs NLO module. Nevertheless, module can be used independently, providing systematic process development improvement/preservation programs level.