Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

CiteULike is a free service for managing and discovering scholarly references - click here to get started.

Sign In to gain access to subscriptions and/or personal tools.
Public Works Management & Policy
This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
1087724X08322843v1
13/3/253    most recent
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Ning Yang
Right arrow Articles by Min Wook Kang
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

A Hybrid Methodology for Freeway Work-Zone Optimization With Time Constraints

Ning Yang

University of Maryland, ningyang{at}umd.edu

Paul Schonfeld

University of Maryland

Min Wook Kang

University of Maryland

To reduce the negative impacts of highway maintenance on traffic, lane-closure schedules, work-zone configurations, and traffic-control strategies should be carefully planned. In this article, optimization techniques are applied to determine the appropriate work-zone plans which can minimize the total costs including agency costs, road-user delay costs and accident costs, subject to working time constraints. A heuristic optimization algorithm, named two-stage modified simulated annealing (2SA), is developed to search for an optimized solution with a hybrid objective function evaluation approach (H2SA). After the decision variables are preoptimized analytically in the first stage, refined optimization is performed based on microscopic simulation models in the second stage. The results of a numerical experiment demonstrate that the H2SA can yield satisfactory solutions, which are close to the best optimization solutions based on simulation (S2SA) but obtained with much less computation time.

Key Words: highway maintenance • simulation • optimization • traffic management

This version was published on January 1, 2009

Public Works Management & Policy, Vol. 13, No. 3, 253-264 (2009)
DOI: 10.1177/1087724X08322843
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?