Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
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
187
views
0
downloads
Cite This
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
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
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.