A primary goal of the pavement management system is to identify the optimal treatment type and its timing to maximize investment returns. The remaining service interval (RSI) is a new terminology representing the time remaining until the need to perform a defined construction event. This approach predicts a structured sequence of maintenance programs based on life cycle cost (LCC) considerations, which, while providing the required functions, is economically optimal. The present paper developed a computer program called MRRIUT to facilitate using the RSI approach at a network-level pavement management system. A reliable and practical cost-benefit optimization approach has been implemented in the program. Performance models developed from the Long-Term Pavement Performance (LTPP) database were used to predict pavement performance over its design life. The developed tool allows organizations to make a more informed decision at the network level by choosing appropriate types and timing of construction events while providing users with a maximum service level.
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Univ Roma La Sapienza, DICEA, Dept Civil Construct & Environm Engn, Rome, ItalyUniv Roma La Sapienza, DICEA, Dept Civil Construct & Environm Engn, Rome, Italy
Pantuso, Antonio
Flintsch, Gerardo W.
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Virginia Tech, Transportat Inst, Ctr Sustainable Transportat Infrastruct, Blacksburg, VA USA
Virginia Polytech Inst & State Univ, Charles Via Jr Dept Civil & Environm Engn, Blacksburg, VA 24061 USAUniv Roma La Sapienza, DICEA, Dept Civil Construct & Environm Engn, Rome, Italy
Flintsch, Gerardo W.
Katicha, Samer W.
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Virginia Tech, Transportat Inst, Ctr Sustainable Transportat Infrastruct, Blacksburg, VA USAUniv Roma La Sapienza, DICEA, Dept Civil Construct & Environm Engn, Rome, Italy
Katicha, Samer W.
Loprencipe, Giuseppe
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Univ Roma La Sapienza, DICEA, Dept Civil Construct & Environm Engn, Rome, ItalyUniv Roma La Sapienza, DICEA, Dept Civil Construct & Environm Engn, Rome, Italy
机构:
Univ Michigan, Ctr Sustainable Syst, Sch Nat Resources & Environm, Ann Arbor, MI 48109 USAUniv Michigan, Ctr Sustainable Syst, Sch Nat Resources & Environm, Ann Arbor, MI 48109 USA
Zhang, Han
Keoleian, Gregory A.
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Univ Michigan, Ctr Sustainable Syst, Ann Arbor, MI 48109 USA
Univ Michigan, Sch Nat Resources & Environm, Ann Arbor, MI 48109 USA
Univ Michigan, Ann Arbor, MI 48109 USAUniv Michigan, Ctr Sustainable Syst, Sch Nat Resources & Environm, Ann Arbor, MI 48109 USA
Keoleian, Gregory A.
Lepech, Michael D.
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Stanford Univ, Dept Civil & Environm Engn, Stanford, CA 94305 USAUniv Michigan, Ctr Sustainable Syst, Sch Nat Resources & Environm, Ann Arbor, MI 48109 USA