Evacuation network modeling via dynamic traffic assignment with probabilistic demand and capacity constraints

Transportation Research Record

Volumn , Issue 2196, 2010, Pages 11-20

  Yazici, Anil ^a   Ozbay, Kaan ^a  

^a Rutgers University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EMERGENCY TRAFFIC CONTROL; RANDOM PROCESSES; STOCHASTIC MODELS; STOCHASTIC PROGRAMMING; STOCHASTIC SYSTEMS; UNCERTAINTY ANALYSIS;

CAPACITY CONSTRAINTS; CHANCE CONSTRAINT; DYNAMIC TRAFFIC; EVACUATION MODELS; NETWORK MODELS; PROBABILISTICS; ROADWAY CAPACITY; SOURCES OF UNCERTAINTY; TRAFFIC ASSIGNMENT; TWO SOURCES;

PROBABILITY DISTRIBUTIONS;

EID: 79951618596     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2196-02     Document Type: Article

References (23)

1. Baker, E. J. Hurricane Evacuation Behavior. International Journal of Mass Emergencies and Disasters, Vol. 9, No. 2, 1991, pp. 287-310.
2. Yazici, M. A., and K. Ozbay. Evacuation Modeling in the United States: Does the Demand Model Choice Matter? Transport Reviews, Vol. 28, No. 6, 2008, pp. 757-779.
3. Meit, M., A. Kennedy, and T. Briggs. Urban to Rural Evacuation: Planning For Rural Population Surge. Final report. Aug. 2008.
4. Ziegler, D. J., and J. H. Johnson, Jr. Evacuation Behavior in Response to Nuclear Power Plant Accidents. Professional Geographer, Vol. 36, No. 2, 1984, pp. 207-215.
5. Gerber, B. J. The Potential for an Uncontrolled Mass Evacuation of the D. C. Metro Area Following a Terrorist Attack: A Report of Survey Findings. University of West Virginia, 2007.
6. U. S. Federal Emergency Management Agency and U. S. Army Corps of Engineers. Comprehensive Hurricane Data Preparedness Study Website. http://chps.sam.usace.army.mil/USHESdata/heshome.htm. Accessed July 1, 2009.
7. Federal Emergency Management Agency. Sea, Lake, and Overland Surges from Hurricanes (SLOSH) Model Website. http://www.fema.gov/plan/prevent/nhp/slosh- link.shtm.
8. Wolshon, B. One-Way-Out: Contra Flow Freeway Operation for Hurricane Evacuation. Natural Hazards Review, Vol. 2, No. 3, 2001, pp. 105-112. (Pubitemid 33309937)
9. Tuydes, H., and A. Ziliaskopoulos. Network Redesign to Optimize Evacuation Contraflow. Presented at 83rd Annual Meeting of the Transportation Research Board, Washington, D. C., 2004.
10. Lu, Q., B. George, and S. Shekhar. Capacity Constrained Routing Algorithms for Evacuation Planning: A Summary of Results. In Advances in Spatial and Temporal Databases. Springer, 2005.
11. Kalafatas, G., and S. Peeta. Planning for Evacuation: Insights from an Efficient Network Design Model. Journal of Infrastructure Systems, Vol. 15, No. 1, 2009, pp. 21-30.
12. Kalafatas, G., and S. Peeta. Network Design for Evacuation Planning. Control in Transportation Systems, Vol. 11, Part 1, Elsevier, 2007.
13. Yazici, M. A., and K. Ozbay. Impact of Probabilistic Road Capacity Constraints on the Spatial Distribution of Hurricane Evacuation Shelter Capacities. In Transportation Research Record: Journal of the Transportation Research Board, No. 2022, Transportation Research Board of the National Academies, Washington, D. C., 2007, pp. 55-62. (Pubitemid 351345475)
14. Ziliaskopoulos, A. K. A Linear Programming Model for the Single Destination System Optimum Dynamic Traffic Assignment Problem. Transportation Science, Vol. 34, No. 1, 2000, pp. 37-49. (Pubitemid 30587606)
15. Daganzo, C. F. The Cell Transmission Model-II. Network Traffic. Transportation Research Part B, Vol. 29 B, 1995, pp. 79-93.
16. Daganzo, C. F. The Cell Transmission Model: A Simple Dynamic Representation of Highway Traffic Consistent with the Hydro-dynamic Theory. Transportation. Research Part B, Vol. 28 B, 1994, pp. 269-287.
17. Charnes, Cooper, and Symonds. Cost Horizon and Certainty Equivalents: An Approach to Stochastic Programming of Heating Oil. Management Science, Vol. 4, 1958, pp. 253-263.
18. Prekopa, A. Stochastic Programming. Springer, 1995.
19. Waller, S. T., and A. K. Ziliaskopoulos. A Chance-Constrained Based Stochastic Dynamic Traffic Assignment Model: Analysis, Formulation, and Solution Algorithms. Transportation Research Part C, Vol. 14, 2006, pp. 418-427. (Pubitemid 46024620)
20. Prekopa, A. Dual Method for a One-Stage Stochastic Programming Problem with Random RHS Obeying a Discrete Probability Distribution. Operations Research, Vol. 34, 1990, pp. 441-461.
21. Dentcheva, D., A. Prékopa, and A. Ruszczynski. Concavity and Efficient Points of Discrete Distributions in Probabilistic Programming. Mathematical Programming, Ser. A, Vol. 89, 2000, pp. 55-77.
22. Prekopa, A. Probabilistic Programming. In Handbooks in Operations Research and Management Science (A. Ruszczynski and A. Shapiro, eds.), Vol. 10, Elsevier, 2003, pp. 267-351.
23. Lin, W-H., and D. Ahanotu. Validating the Basic Cell Transmission Model on a Single Freeway Link. Path Technical Note 95-3. Institute of Transportation Studies, University of California, Berkeley, 1995.