Case Studies
Nov 15, 2013

Cost-Estimating Model for Rubberized Asphalt Pavement Rehabilitation Projects

Publication: Journal of Infrastructure Systems
Volume 19, Issue 4

Abstract

There are nearly 4,800,000 km (3,000,000 miles) of paved roads and 80,000 km (50,000 miles) of paved highways in the United States, many of which are in poor condition and approaching the end of their design life. To upgrade this valuable infrastructure, state and federal governments have advocated for rubberized asphalt concrete (RAC) technology, which would meet the current needs without compromising the ability of future generations to meet their own demands. This paper presents a cost-estimating system for rubberized asphalt road rehabilitation projects. The proposed system utilizes information collected from 44 projects and applies neural networks to perform its task. This tool is believed to be helpful in many road pavement applications, such as preparing accurate budget estimates and life-cost analyses, as well as managing financial resources in limited budget environments.

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Acknowledgments

This research was funded by California State University, Long Beach (CSULB) and METRANS Transportation Center. Their assistance in successfully completion of this study is gratefully acknowledged.

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Information & Authors

Information

Published In

Go to Journal of Infrastructure Systems
Journal of Infrastructure Systems
Volume 19Issue 4December 2013
Pages: 496 - 502

History

Received: Jun 5, 2012
Accepted: Jan 18, 2013
Published online: Nov 15, 2013
Published in print: Dec 1, 2013
Discussion open until: Apr 15, 2014

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Authors

Affiliations

Tariq Shehab [email protected]
Associate Professor, Dept. of Civil Engineering and Construction Engineering Management, California State Univ., Long Beach, CA 90840 (corresponding author). E-mail: [email protected]
Ida Meisami-Fard [email protected]
Research Assistant, Dept. of Civil Engineering and Construction Engineering Management, California State Univ., Long Beach, CA 90840. E-mail: [email protected]

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