Global Network Optimization for Pavement Managementby Kelvin C. P. Wang, (A.M.ASCE), Univ of Arkansas, Fayetteville, United States,
John Zaniewski, (M.ASCE), Univ of Arkansas, Fayetteville, United States,
Abstract: In a state-wide pavement management system, the highway network can be divided into a number of road categories based on traffic level and geographical region. Network optimization analysis can be conducted for each road category, as implemented in the Arizona Department of Transportation (ADOT) in its Network Optimization System (NOS). However, a global optimization model is needed when the annual state-wide budget is used. This global optimization problem includes all the variables and constraints for the road categories linked by the constraints of annual budgets. This problem fits the structure of the decomposition algorithm by Dantzig and Wolfe. This Global NOS can be efficiently implemented in a low-cost symmetrical computing environment for the preservation of more than 7,000 miles of roadway in the state of Arizona.
Subject Headings: Highway and road management | Pavements | Optimization models | Systems management | Budgets | Transportation networks | Network analysis | Traffic management | Arizona | North America | United States
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