01476244

Component

Transportation officials at the state and local governments must make the best use of available budget to maintain the existing street network under the current budget environment. Mathematical optimization models can help to identify the optimal maintenance and rehabilitation strategy. This paper compares a linear versus a non-linear optimization model for pavement network management. Both models use the Markov transitional probabilities to represent pavement network deterioration, and both have been implemented as spreadsheet tools for use by municipalities. These tools allow users to estimate the minimum budget required to maintain a pavement network to achieve a desired network condition. For a given budget, the tools can be used to determine the budget allocation required to achieve the best network condition. The algorithms for both models are presented, and the results produced from the two models are compared.

This paper was sponsored by TRB committee AFD10 Pavement Management Systems.

01470560

13-4953

English

18p

2013

Transportation Research Board 92nd Annual Meeting

Digital/other

Figures; References; Tables

Algorithms; Budgeting; Deterioration; Markov processes; Optimization; Pavement maintenance; Pavement management systems

Highways; Maintenance and Preservation; Pavements; I60: Maintenance

Transportation Research Board Annual Meeting 2013 Paper #13-4953

PRP, TRIS, TRB, ATRI

Feb 5 2013 12:57PM