A Simulation Tool for Hurricane Evacuation Planning
Atlantic hurricanes and severe tropical storms are a serious threat for the communities in the Gulf of Mexico region. Such storms are violent and destructive. In response to these dangers, coastal evacuation may be ordered. This paper describes the development of a simulation model to analyze the mo...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2009-01-01
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| Series: | Modelling and Simulation in Engineering |
| Online Access: | http://dx.doi.org/10.1155/2009/729570 |
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| author | Daniel J. Fonseca Gary P. Moynihan Jordan Johnston Jordan Jennings |
| author_facet | Daniel J. Fonseca Gary P. Moynihan Jordan Johnston Jordan Jennings |
| author_sort | Daniel J. Fonseca |
| collection | DOAJ |
| description | Atlantic hurricanes and severe tropical storms are a serious threat for the communities in the Gulf of Mexico region. Such storms are violent and destructive. In response to these dangers, coastal evacuation may be ordered. This paper describes the development of a simulation model to analyze the movement of vehicles through I-65, a major US Interstate highway that runs north off the coastal City of Mobile, Alabama, towards the State of Tennessee, during a massive evacuation originated by a disastrous event such a hurricane. The constructed simulation platform consists of a primary and two secondary models. The primary model is based on the entry of vehicles from the 20 on-ramps to I-65. The two secondary models assist the primary model with related traffic events such as car breakdowns and accidents, traffic control measures, interarrival signaling, and unforeseen emergency incidents, among others. Statistical testing was performed on the data generated by the simulation model to indentify variation in relevant traffic variables affecting the timely flow of vehicles travelling north. The performed statistical analysis focused on the closing of alternative on-ramps throughout the Interstate. |
| format | Article |
| id | doaj-art-732f214ce4974367828a8b9ef00ce4a3 |
| institution | Kabale University |
| issn | 1687-5591 1687-5605 |
| language | English |
| publishDate | 2009-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Modelling and Simulation in Engineering |
| spelling | doaj-art-732f214ce4974367828a8b9ef00ce4a32025-02-03T01:23:55ZengWileyModelling and Simulation in Engineering1687-55911687-56052009-01-01200910.1155/2009/729570729570A Simulation Tool for Hurricane Evacuation PlanningDaniel J. Fonseca0Gary P. Moynihan1Jordan Johnston2Jordan Jennings3Department of Mechanical Engineering, The University of Alabama, Tuscaloosa, AL 35487-0276, USADepartment of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, AL 35487, USADepartment of Industrial Engineering, The University of Alabama, Tuscaloosa, AL 35487, USADepartment of Industrial Engineering, The University of Alabama, Tuscaloosa, AL 35487, USAAtlantic hurricanes and severe tropical storms are a serious threat for the communities in the Gulf of Mexico region. Such storms are violent and destructive. In response to these dangers, coastal evacuation may be ordered. This paper describes the development of a simulation model to analyze the movement of vehicles through I-65, a major US Interstate highway that runs north off the coastal City of Mobile, Alabama, towards the State of Tennessee, during a massive evacuation originated by a disastrous event such a hurricane. The constructed simulation platform consists of a primary and two secondary models. The primary model is based on the entry of vehicles from the 20 on-ramps to I-65. The two secondary models assist the primary model with related traffic events such as car breakdowns and accidents, traffic control measures, interarrival signaling, and unforeseen emergency incidents, among others. Statistical testing was performed on the data generated by the simulation model to indentify variation in relevant traffic variables affecting the timely flow of vehicles travelling north. The performed statistical analysis focused on the closing of alternative on-ramps throughout the Interstate.http://dx.doi.org/10.1155/2009/729570 |
| spellingShingle | Daniel J. Fonseca Gary P. Moynihan Jordan Johnston Jordan Jennings A Simulation Tool for Hurricane Evacuation Planning Modelling and Simulation in Engineering |
| title | A Simulation Tool for Hurricane Evacuation Planning |
| title_full | A Simulation Tool for Hurricane Evacuation Planning |
| title_fullStr | A Simulation Tool for Hurricane Evacuation Planning |
| title_full_unstemmed | A Simulation Tool for Hurricane Evacuation Planning |
| title_short | A Simulation Tool for Hurricane Evacuation Planning |
| title_sort | simulation tool for hurricane evacuation planning |
| url | http://dx.doi.org/10.1155/2009/729570 |
| work_keys_str_mv | AT danieljfonseca asimulationtoolforhurricaneevacuationplanning AT garypmoynihan asimulationtoolforhurricaneevacuationplanning AT jordanjohnston asimulationtoolforhurricaneevacuationplanning AT jordanjennings asimulationtoolforhurricaneevacuationplanning AT danieljfonseca simulationtoolforhurricaneevacuationplanning AT garypmoynihan simulationtoolforhurricaneevacuationplanning AT jordanjohnston simulationtoolforhurricaneevacuationplanning AT jordanjennings simulationtoolforhurricaneevacuationplanning |