Automated estimation of road facilities within 5D modeling paradigm

Abstract

The paper is aimed at considering the possibility of automated estimation of road facilities on the basis of data obtained from the bill of quantities at the design or construction stages. The authors accepted Tomita Parser as a for extracting facts and parameters from the bill of quantities. Further comparison of quantities of work with Federal Unit Rates and State Itemized Cost Estimate Standards is carried out by the program algorithm developed by the authors for calculating and estimating costs. The presented manual method for creating a database compiled on the basis of comparing the bill of quantities with the above federal regulations may be considered reliable. However, large data sets require machine learning technologies to be applied. The program algorithm considers many estimation settings, in particular, assigning the index to construction and installation works, the total coefficient to the positions by types of work (for example, performance of work on one half of the roadway), etc. The finished estimate is generated in a *.xml file and can be further integrated into the road information model and converted into *.gge format for using by the Federal autonomous institution “Main Department of State Expertise”. The results showed that all key parameters from the bill of quantities were taken into account by the program algorithm. The generated estimate considered all coefficients and prices to accurately reflect the cost of the works described in this bill.