@article{(Open Science Index):https://publications.waset.org/pdf/16935,
	  title     = {Estimation of Missing or Incomplete Data in Road Performance Measurement Systems},
	  author    = {Kristjan Kuhi and  Kati K. Kaare and  Ott Koppel},
	  country	= {},
	  institution	= {},
	  abstract     = {Modern management in most fields is performance based; both planning and implementation of maintenance and operational activities are driven by appropriately defined performance indicators. Continuous real-time data collection for management is becoming feasible due to technological advancements. Outdated and insufficient input data may result in incorrect decisions. When using deterministic models the uncertainty of the object state is not visible thus applying the deterministic models are more likely to give false diagnosis. Constructing structured probabilistic models of the performance indicators taking into consideration the surrounding indicator environment enables to estimate the trustworthiness of the indicator values. It also assists to fill gaps in data to improve the quality of the performance analysis and management decisions. In this paper authors discuss the application of probabilistic graphical models in the road performance measurement and propose a high-level conceptual model that enables analyzing and predicting more precisely future pavement deterioration based on road utilization.
},
	    journal   = {International Journal of Industrial and Manufacturing Engineering},
	  volume    = {7},
	  number    = {10},
	  year      = {2013},
	  pages     = {1904 - 1910},
	  ee        = {https://publications.waset.org/pdf/16935},
	  url   	= {https://publications.waset.org/vol/82},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 82, 2013},
	}