Date of Award
Spring 2009
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Electrical & Computer Engineering
Program/Concentration
Computer Engineering
Committee Director
James F. Leathrum Jr.
Committee Member
Min Song
Committee Member
Roland R. Mielke
Call Number for Print
Special Collections LD4331.E55 K433 2009
Abstract
Hurricane evacuation is one of the major steps in diminishing the devastating effects of hurricanes on lives and properties. The challenge in evacuating a large number of people in a short time is the severe congestion faced in the transportation network, leading to long delays and shortages. Standard hurricane evacuation plans focus on how to best utilize the main arteries. The research challenge is to not overload the fastest routes and to utilize all the routes efficiently. The evacuation routing system proposed in this thesis focuses on distributing the traffic load throughout the network, utilizing alternative routes not considered in initial planning, while not overloading those routes. Real-time traffic data is monitored through sensors on probe vehicles and taken into account to make better decisions. The proposed evacuation algorithm considers the transportation network as a resistive network, where traffic is distributed to utilize the full network. The vehicles are guided individually, and the decisions are made at a local level. This thesis shows that the proposed system opens the opportunity for greater throughput, thus a shorter overall evacuation time. A study of the evacuation of Hampton Roads demonstrates the potential to improve the throughput by 50 %.
Rights
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DOI
10.25777/09vx-3967
Recommended Citation
Khanal, Anup.
"A Hurricane Evacuation Route System Real-Time Monitoring and Distribution of Load"
(2009). Master of Science (MS), Thesis, Electrical & Computer Engineering, Old Dominion University, DOI: 10.25777/09vx-3967
https://digitalcommons.odu.edu/ece_etds/398
Included in
Digital Communications and Networking Commons, Emergency and Disaster Management Commons, Theory and Algorithms Commons, Transportation Engineering Commons