TECHNICAL PAPERS
Oct 1, 2006

Two-Level Integrated Optimization System for Planning of Emergency Evacuation

Publication: Journal of Transportation Engineering
Volume 132, Issue 10

Abstract

This paper presents a two-level integrated optimization system for use in generating the candidate set of optimal evacuation plans that serve as the input for simulation-based evacuation systems. In the proposed system, the high-level optimization aims to maximize the throughput during the specified evacuation duration, and the low-level optimization is intended to minimize the total travel time as well as the waiting time for the entire operation if the specified duration is sufficient for meeting all evacuation demands. To effectively represent traffic flow relations with mathematical formulations, this paper employs the cell transmission concept, but with a revised formulation for large-scale network applications. The performance of the proposed models and their applicability has been tested with a microscopic simulation program that replicates the Ocean City evacuation network. Evaluation results from these numerical studies have demonstrated the promising properties of the proposed integrated optimization system.

Get full access to this article

View all available purchase options and get full access to this article.

References

Alsnih, R., and Stopher, P. R. (2003). “Review of the procedures associated with devising emergency evacuation plans.” Transportation Research Record. 1865, Transportation Research Board, Washington, D.C., 89–97.
Barrett, B., Ran, B., and Pillai, R. (2000). “Developing a dynamic traffic management modeling framework for hurricane evacuation.” Transportation Research Record. 1733, Transportation Research Board, Washington, D.C., 115–121.
Daganzo, F. C. (1995). “The cell transmission model. II: Network traffic.” Transp. Res., Part B: Methodol., 29(2), 79–93.
Daganzo, F. C. (1994). “The cell transmission model: A dynamic representation of highway traffic consistent with the hydrodynamic theory.” Transp. Res., Part B: Methodol., 28(4), 269–287.
Demuth, J. L. (2002). Countering terrorism: Lessons learned from natural and technological disasters, National Academy of Sciences, Washington, D.C.
Franzese, O., and Han, L. D. (2001). “Traffic modeling framework for hurricane evacuation.” 80th Transportation Research Board Annual Meeting, Washington, D.C.
Hobeika, A. G., and Kim, C. (1998). “Comparison of traffic assignments in evacuation modeling.” IEEE Trans. Eng. Manage., 45(2), 192–198.
Hobeika, A. G., and Jamei, B. (1985). “MASSVAC: A model for calculating evacuation times under natural disasters.” Emergency Planning, Simulation Series, 15, 23–28.
Hobeika, A. G., Kim, S., and Beckwith, R. E. (1994). “A decision support system for developing evacuation plans around nuclear power stations.” Interfaces, 24(5), 22–35.
Jha, M., Moore, K., and Pashaie, B. (2004). “Emergency evacuation planning with microscopic traffic simulation.” 83rd Transportation Research Board Annual Meeting, Washington, D.C.
Li, Y., Ziliaskopoulos, A. K., and Waller, S. T. (1999). “Linear programming formulations for system optimum dynamic traffic assignment with arrival time-based and departure time-based demands.” Transportation Research Record. 1667, Transportation Research Board, Washington, D.C., 52–59.
Pidd, M., de Silva, F. N., and Eglese, R. W. (1996). “Theory and methodology: A simulation model for emergency evacuation.” Eur. J. Oper. Res., 90(3), 413–419.
“Responding to energy-related emergencies.” (2002). Oak Ridge National Laboratory Review, 35(2), 21–24.
Sheffi, Y., Mahmassani, H., and Powell, W. B. (1982). “A transportation network evacuation model.” Transp. Res., Part A, 16(3), 209–218.
Theodoulou, G., and Wolshon, B. (2004). “Modeling and analyses of freeway contraflow to improve future evacuations.” 83rd Transportation Research Board Annual Meeting, Washington, D.C.
Town of Ocean City. (2002). Emergency operations plan, Maryland, December.
Tuydes, H., and Ziliaskopoulos, A. (2004). “Network re-design to optimize evacuation contraflow.” 83rd Transportation Research Board Annual Meeting, Washington, D.C.
Urbina, E., and Wolshon, B. (2003). “National review of hurricane evacuation plans and policies: A comparison and contrast of state practices.” Transp. Res., Part A: Policy Pract., 37(3), 257–275.
Ziliaskopoulos, A. K. (2000). “A linear programming model for the single destination system optimum dynamic traffic assignment problem.” Transp. Sci., 34(1), 37–49.
Ziliaskopoulos, A., and Lee, S. (1996). “A cell transmission based assignment-simulation model for integrated freeway/surface street systems.” 75th Transportation Research Board Annual Meeting, Washington, D.C.
Zou, N., and Yeh, S. T. (2005). “A simulation-based emergency evacuation system for Ocean City, Maryland during hurricane attacks.” Transportation Research Record. 1922, Transportation Research Board, Washington, D.C., 138–148.

Information & Authors

Information

Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 132Issue 10October 2006
Pages: 800 - 807

History

Received: Sep 2, 2005
Accepted: Mar 20, 2006
Published online: Oct 1, 2006
Published in print: Oct 2006

Permissions

Request permissions for this article.

Authors

Affiliations

Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Maryland, College Park, MD 20742. E-mail: lyng@ wam.umd.edu
Xiaorong Lai
Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Maryland, College Park, MD 20742.
Gang-Len Chang, M.ASCE
Professor, Dept. of Civil and Environmental Engineering, Univ. of Maryland, College Park, MD 20742.

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share