2011
DOI: 10.1016/j.trc.2011.03.003
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The price of uncertainty in pavement infrastructure management planning: An integer programming approach

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Cited by 41 publications
(15 citation statements)
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References 30 publications
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“…Albeit the positive advantages, the accuracy of the automated systems is, however, the biggest challenge faced today by the developers of these technologies. These inaccuracies propagate through the agency's Pavement Management System (PMS) resulting in erroneous estimation of budget needs and incorrect allocation of resources (Ng et al, 2011;Saliminejad and Gharaibeh, 2012;Serigos et al, 2014a). In addition, surface distress data collected throughout time is also used to calibrate performance models for the design of pavement structures and, therefore, inaccuracies in distress data will negatively affect the pavement design reliability.…”
Section: Introductionmentioning
confidence: 99%
“…Albeit the positive advantages, the accuracy of the automated systems is, however, the biggest challenge faced today by the developers of these technologies. These inaccuracies propagate through the agency's Pavement Management System (PMS) resulting in erroneous estimation of budget needs and incorrect allocation of resources (Ng et al, 2011;Saliminejad and Gharaibeh, 2012;Serigos et al, 2014a). In addition, surface distress data collected throughout time is also used to calibrate performance models for the design of pavement structures and, therefore, inaccuracies in distress data will negatively affect the pavement design reliability.…”
Section: Introductionmentioning
confidence: 99%
“…Much research has been carried out to determine a life-cycle safety analysis of infrastructure assets, in order to determine likely periods of intervention. These methods include using advanced probabilistic methods (Frangopol & Bocchini, 2012;Frangopol, 2011), to using various methods of linear, nonlinear, and dynamic programming (Ng et al, 2011;Medury & Madanat, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…For example, reviews can be found about asset management in the electrical and utilities industry (Brint, Bridgeman, & Black, 2009;Okamoto & Takahashi, 2007). Related to the civil engineering sector, reviews are done on soft computing applications (Flintsch & Chen, 2004), wireless technologies for structural health monitoring (Lynch, 2007), available commercial IM software (Halfawy, Newton, & Vanier, 2006), water deterioration and failure rate prediction models (St Clair & Sinha, 2012), inspection practices (Wakchaure & Jha, 2012) and deterministic and stochastic programming models (Ng, Zhang, & Waller, 2011). Frangopol, Saydam, and Kim (2012) reviewed publications in the Structure and Infrastructure Engineering (SIE) journal in the period from 2005 to 2011.…”
Section: Introductionmentioning
confidence: 99%