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An integrated pavement management system has been designed to provide the pavement engineers with an effective decisionmaking tool for planning and scheduling of pavement maintenance and rehabilitation ͑M&R͒ work. The developed system applies a discrete-time Markovian model to predict pavement deterioration with the inclusion of pavement improvement resulting from M&R actions. An effective decision policy with two major options has been used. The first option optimizes a generalized nonlineardoi:10.1061/(asce)0733-947x(2004)130:1(24) fatcat:lk57qbjytnajnkbcthy6n6g4vi