Parametric cost estimation system for light rail transit and metro trackworks

Date

2011-03-01

Author

Gunduz, Murat
Ugur, Latif Onur
Ozturk, Erhan

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

137
views

0
downloads

The main objective of this work is to develop early cost estimation models for light rail transit and metro trackworks using the multivariable regression and artificial neural network approaches. These two approaches were applied to a data set of 16 projects by using 17 parameters available at the early design phase. The regression analysis estimated the cost of testing samples with an error of 2.32%. On the other hand, artificial neural network estimated the cost with 5.76% error, which was slightly higher than the regression error. As a result, two successful cost estimation models have been developed depending on the findings of this paper. These models can effectively be utilized in the tender decision-making phase of projects with trackworks.

Subject Keywords

General Engineering, Artificial Intelligence, Computer Science Applications

URI

https://hdl.handle.net/11511/67195

DOI

https://doi.org/10.1016/j.eswa.2010.08.080

Collections

Department of Civil Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Cost estimation of trackworks of light rail and metro projects Öztürk, Erhan; Gündüz, Murat; Department of Civil Engineering (2009) The main objective of this work is to develop models using multivariable regression and artificial neural network approaches for cost estimation of the construction costs of trackworks of light rail transit and metro projects at the early stages of the construction process in Turkey. These two approaches were applied to a data set of 16 projects by using seventeen parameters available at the early design phase. According to the results of each method, regression analysis estimated the cost of testing sample...
A unifying grid approach for solving potential flows applicable to structured and unstructured grid configurations Cete, A. Ruhsen; Yuekselen, M. Adil; Kaynak, Uenver (Elsevier BV, 2008-01-01) In this study, an efficient numerical method is proposed for unifying the structured and unstructured grid approaches for solving the potential flows. The new method, named as the "alternating cell directions implicit - ACDI", solves for the structured and unstructured grid configurations equally well. The new method in effect applies a line implicit method similar to the Line Gauss Seidel scheme for complex unstructured grids including mixed type quadrilateral and triangle cells. To this end, designated al...
LinGraph: a graph-based automated planner for concurrent task planning based on linear logic Kortik, Sitar; Saranlı, Uluç (Springer Science and Business Media LLC, 2017-10-01) In this paper, we introduce an automated planner for deterministic, concurrent domains, formulated as a graph-based theorem prover for a propositional fragment of intuitionistic linear logic, relying on the previously established connection between intuitionistic linear logic and planning problems. The new graph-based theorem prover we introduce improves planning performance by reducing proof permutations that are irrelevant to planning problems particularly in the presence of large numbers of objects and a...
A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study Yet, Barbaros; Fenton, Norman; Neil, Martin; Luedeling, Eike; Shepherd, Keith (Elsevier BV, 2016-10-01) Successful implementation of major projects requires careful management of uncertainty and risk. Yet such uncertainty is rarely effectively calculated when analysing project costs and benefits. This paper presents a Bayesian Network (BN) modelling framework to calculate the costs, benefits, and return on investment of a project over a specified time period, allowing for changing circumstances and trade-offs. The framework uses hybrid and dynamic BNs containing both discrete and continuous variables over mul...
RTTES: Real-time search in dynamic environments Undeger, Cagatay; Polat, Faruk (Springer Science and Business Media LLC, 2007-10-01) In this paper we propose a real-time search algorithm called Real-Time Target Evaluation Search (RTTES) for the problem of searching a route in grid worlds from a starting point to a static or dynamic target point in real-time. The algorithm makes use of a new effective heuristic method which utilizes environmental information to successfully find solution paths to the target in dynamic and partially observable environments. The method requires analysis of nearby obstacles to determine closed directions and...

Citation Formats

M. Gunduz, L. O. Ugur, and E. Ozturk, “Parametric cost estimation system for light rail transit and metro trackworks,” 2011, vol. 38, p. 2873, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67195.