METRANS

11-25 Cost Estimating Model for Sustainable Rehabilitation of Road Projects

Project Number

11-25

Project Summary

Cost Estimating Model for Sustainable Rehabilitation of Road Projects

Project Status

Complete

Project Report

Year

2011

Topic Area

Infrastructure

P.I. Name & Address

Associate Professor and CEM Undergraduate Advisor, Department of Civil Engineering and Construction Engineering Management; College of Engineering
California State University Long Beach
1250 Bellflower Blvd.
VEC-309
Long Beach, CA 90840
United States
Tariq.Shehab@csulb.edu

Project Objective:
Roads are considered among the most capital-intensive infrastructure systems in the United States. In a recent report revealed by the American Society of Civil Engineers (ASCE), roads have been assigned a D- grade for their severely deteriorated conditions. To improve the conditions of these roads in a sustainable manner, state and federal governments have allocated considerable amounts of their budgets for replacing and/or repairing their deteriorated roads using a rubberized asphalt technology. Industry leaders have suggested that this sustainable rehabilitation technique will meet the current roadway needs without compromising the ability of future generations to meet their own needs. To better manage these allocated budgets, a reliable and accurate conceptual cost estimating system is required. This research will develop an Artificial Intelligent (AI) system for estimating the construction cost of road resurfacing rehabilitation projects using rubberizing asphalt technology. The developed system saves time, improves the accuracy of cost estimates and prevents problems that are usually associated with inaccurate estimates. It is also believed that it will assist cities in go/no-go decision making processes pertaining to road rehabilitation projects.

Task Descriptions
(1) Establish performance requirements
(2) Obtain data pertaining to prior projects
(3) Performance of Pareto Analysis
(4) Develop the proposed artificial intelligence cost estimating system
(5) Testing and fine-tuning
(6) Prepare final report

Milestones, Dates:
(1) August 2010 – September 2010
(2) September 2010 – December 2010
(3) December 2010 – January 2011
(4) February 2011 – May 2011
(5) May 2011 – June 2011
(6) June 2011 – July 2011

Total Budget:
$32,300

Student Involvement:
One graduate student for 12 months
One undergraduate student for 12 months

Relationship to Other Research Projects:
03-06, 03-25, 06-10, part of the infrastructure and mobility focus areas

Technology Transfer Activities:
Project report will be posted soon

Potential Benefits of the Project:
Improvement in accuracy and timing of cost estimates and assist cities in decision-making process

TRB Keywords:
Construction, Finance, Maintenance and Preservation, Materials, Pavements

Primary Subject:
1p.1 To develop an Artificial Intelligent (AI) system for estimating the construction cost of road resurfacing rehabilitation projects using rubberizing asphalt technology.