Cost estimation in road construction using artificial neural network

被引:54
作者
Tijanic, Ksenija [1 ]
Car-Pusic, Diana [1 ]
Sperac, Marija [2 ]
机构
[1] Univ Rijeka, Fac Civil Engn, Radmile Matejcic 3, Rijeka 51000, Croatia
[2] Josip Juraj Strossmayer Univ Osijek, Fac Civil Engn Osijek, Vladimira Preloga 3, Osijek 31000, Croatia
关键词
Estimation; Costs; Road projects; Artificial neural network; MODEL;
D O I
10.1007/s00521-019-04443-y
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Road construction projects on the territory of the Republic of Croatia are characterized by the overrun of planned costs. The experience of the contractor on previous road projects is an important element that can help to prevent errors and increase the chances of success in similar future projects. Data on construction costs collected from past projects can be used to estimate costs at different stages of the project life cycle through artificial neural networks. In this paper, artificial neural networks (MLP, GRNN, RBFNN) for estimating road construction costs are modeled. During the modeling, the database of roads constructed on the territory of the Republic of Croatia was used. Comparison of performance of neural networks has shown that the GRNN has obtained the best accuracy with MAPE of 13% and coefficient of determination of 0.9595. The neural network has proven to be a promising approach to use in the initial design phase when there is usually a limited or incomplete set of data for cost analysis, and this method could yield much more accurate results and the estimation error could be reduced.
引用
收藏
页码:9343 / 9355
页数:13
相关论文
共 45 条
[1]  
Adel K, 2016, INT J ENG SCI COMPUT, V6, P1729
[2]  
Adeli H., 1989, Microcomputers in Civil Engineering, V4, P247
[3]   Neural networks in civil engineering: 1989-2000 [J].
Adeli, H .
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2001, 16 (02) :126-142
[4]  
Ahiaga-Dagbui D D., 2012, Procs 28th Annual ARCOM Conference, P307, DOI DOI 10.1109/ICCV.2019.00925
[5]  
Al-Mahasneh AJ, 2018, NEURAL EVOLUT COMPUT
[6]  
AL-Zwainy F.M., 2017, INDIAN J SCI TECHNOL, V10, P1, DOI DOI 10.17485/ijst/2017/v10i20/108567
[7]  
Ambrule V.R., 2017, Int. J. Recent Innov. Trends Comput. Commun, V5, P173
[8]  
[Anonymous], Aleksander Sergej Tulpanov to Walter Felsenstein
[9]  
[Anonymous], 2010, Development of Neural Network Models for Prediction of Highway Construction Cost and Project Duration, DOI DOI 10.1016/j.ijproman.2012.11.008
[10]  
Bansal R., 2017, HACKEREARTH