Funding problems have been one of the major catalysts for implementing and improving the pavement management process. with a drop inanticipated federal funding levels, many states have been and will be required to raise additional state funds. at the same time, states need to recognize the increasing demands for preventive maintenance. consequently, states need to ensure optimum use of all funds, as well as justify the levels of their requests. to investigate the most effective use of maine's funding sources, the problem was modeled using linear programming (lp). a simple spreadsheet-based microcomputer lp code that incorporated available pavement management data wasemployed. the "benefit" measure used to evaluate the variety of available strategies was based on the performance concept of the aasho road test. actual data on the performance of flexible pavements in maine were used to construct the models. two network-level models were developed and applied to the state's federal-aid primary system. one version established "target" miles of the various candidate strategies, and corresponding levels of service, in order to meet a variety of fiscal constraints. the second approach established optimum state and federal budget levels, and corresponding miles of improvement, to meet a variety of performance and resource criteria. the solutions were compared with the needs established by existing methods. they compared favorably and also provided a quick and simple means ofevaluating various levels of state and federal budgets. the models also make it possible to support budget requests with objective data. this paper appears in transportation research record no. 1156, transportation systems planning and management.
Samenvatting