Abstract
The present research, based on system engineering, information engineering technology, applied mathematics, and the theories and methodology of safety predicative assessment, carried out a thorough and in-depth research into the intelligence decision-making and analysis for optimization design development of road surface maintenance system from the aspects of data support, road performance assessment and optimization and selection scheme for maintenance decision-making and strategies. In addition, the optimization algorithm is provided for data categorization and sifting as well as the division of storage units. Then, an optimization model is constructed based on the load bearing capacity of road structures, road quality for driving, road safety for driving together with road surface damage. At last, based on multi-model predications and the correlation analysis for predicative concepts of decision-making flow for road surface performance, the PPM optimization model is constructed for protective maintenance modules for road surface and the mathematical model and method are offered for the optimization and selection of strategic schemes.
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Xue-zhen, D., Lei, X., Bo, Z. (2011). Research on Intelligence Decision-Making Analysis and Optimization Design Development of Pavement Management System. In: Zeng, D. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23214-5_87
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DOI: https://doi.org/10.1007/978-3-642-23214-5_87
Publisher Name: Springer, Berlin, Heidelberg
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