Bridge-Level Optimization Module for Planning and Programming

This paper briefly introduces the proposed element-based multi-objective optimization (EB-MOO) methodology to support state departments of transportation with their decision-making process, asset management, and performance-based transportation planning and programming. The methodology focuses on one the bridge asset class and consists of five modules: (1) data processing, (2) improvement, (3) element-level optimization (ELO), (4) bridge-level optimization (BLO), and (5) network-level optimization (NLO). The paper focuses on the BLO module, specifically: the basic framework of underlying processes and concepts, the optimization problem types and mathematical formulations, and the heuristic algorithm to solve the complex BLO problems. A tool prototype was developed to implement these five modules of the EB-MOO methodology, test concepts, prove effectiveness, and demonstrate potential benefits. The paper also includes an illustrative example using the tool prototype. The example consists of different BLO problems under different budget and performance scenarios. The implementation proves the module’s capability in producing a diverse set of BLO solutions, recommending set of intervention actions and timings, predicting performance, and determining budget requirements for the entire program period. The BLO results associated with the recommended solutions serve as the fundamental inputs for the NLO module.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 26p

Subject/Index Terms

Filing Info

  • Accession Number: 01763761
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-01026
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:10AM