skip to main content
10.1145/3690407.3690523acmotherconferencesArticle/Chapter ViewAbstractPublication PagescaibdaConference Proceedingsconference-collections
research-article

Target Cost Prediction for Highway Construction Projects Based on Stacking Modeling

Published: 24 October 2024 Publication History

Abstract

Target cost is an expected cost objective set by the project management team during the project initiation phase. By setting the target cost, the team can carry out cost control and monitoring in the process of project execution to ensure that the actual cost of the project is in line with the expected target. This paper addresses the problems of target cost prediction for highway construction projects and proposes a method of project target cost estimation using the Stacking model to effectively overcome the deficiencies in target cost estimation. The Stacking model, as a comprehensive machine learning method in the process of determining the target cost of planning and designing projects, is able to reduce the human bias and make the results of the calculation of the target cost more scientific and effective, thus further improving the accuracy of cost management.

References

[1]
Lijun Wang. 2020. Research on Cost Control and Target Management of General Contracting Project. Construction economy, 41 (S1): 115-118. 10.14181/j.cnki.1002-851x.2020S1115
[2]
Kai Wang, Xinlun Zhou, and Qi Yang. 2021. Research on the Procedure of Cost Management under the Model of EPC. Construction economy, 42 (10): 37-40.
[3]
Rasool Nemati, Eshan V. Dave, Jo E. Sias, and Alan D. Perkins. 2019. Regionalizing the Quality Assurance Processes in New England Area for Pre-Stressed and Precast Concrete Elements used in Highway Construction. Transportation Research Record, 2673(8): 544-553.
[4]
Jaehyun Choi. 2020. Road User Costs for Highway Construction Projects Involving a Lane Closure. Sustainability, 12(8): 3084.
[5]
P Velumani, N.V.N.Nampoothiri, and M.A Urbański. 2021. comparative study of models for the construction duration prediction in highway road projects of India. Sustainability, 13(8): 4552.
[6]
Ying Li. 2023. Application of Project Cost Management Information System in Highway Construction Management. Transport Business China, (28): 43-45.
[7]
Zhicheng Ge. 2024. Application of Comprehensive Budget Management in Cost management of Highway Construction Projects. Chinese Industry & Economy, (02): 140-142.
[8]
Dejan Paliska, Daša Fabjan, Robert Vodopivec, and Samo Drobne. 2018. VPLIV IZGRADNJE AVTOCEST IN HITRIH CEST NA CENO STANOVANJ V SEVEROVZHODNI SLOVENIJI. Geodetski Vestnik, 62(2): 218-234.
[9]
Tien Bui. Dieu, Nhat-Duc Hoang, and Viet-Ha Nhu. 2019. A swarm intelligence-based machine learning approach for predicting soil shear strength for road construction: a case study at Trung Luong National Expressway Project (Vietnam). Engineering with Computers, 35(3): 955-965.
[10]
Banan Mohammad, Wael Alzyadat, Mohammad Al-Fayoumi, Ruba EL. Hawi, and AyshAlhroob. 2021. An Improve The Quality Of Data Considering Big Data Aspect Based On Sensitive Of Cost Time In: International Conference on Engineering and Emerging Technologies (ICEET). Istanbul. 1-6.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
CAIBDA '24: Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms
June 2024
1206 pages
ISBN:9798400710247
DOI:10.1145/3690407
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 October 2024

Check for updates

Author Tags

  1. Project management
  2. Stacking model
  3. Target cost

Qualifiers

  • Research-article

Conference

CAIBDA 2024

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 17
    Total Downloads
  • Downloads (Last 12 months)17
  • Downloads (Last 6 weeks)7
Reflects downloads up to 05 Mar 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Full Text

View this article in Full Text.

Full Text

HTML Format

View this article in HTML Format.

HTML Format

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media