Incident Occurrence Modeling during Hurricane Evacuation Events: The Case of Alabama's I-65 Corridor
Contraflow on major evacuation routes is one scheme that has been adopted in many Gulf and eastern coastal states for hurricane evacuation. The idea is to reverse one direction of the roadway in order to accommodate the often substantially increased travel demand moving away from the impact area....
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Modelling and Simulation in Engineering |
| Online Access: | http://dx.doi.org/10.1155/2013/168126 |
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| author | Daniel J. Fonseca Yingyan Lou Gary P. Moynihan Saravanan Gurupackiam |
| author_facet | Daniel J. Fonseca Yingyan Lou Gary P. Moynihan Saravanan Gurupackiam |
| author_sort | Daniel J. Fonseca |
| collection | DOAJ |
| description | Contraflow on major evacuation routes is one scheme that has been adopted in many Gulf and eastern coastal states for hurricane evacuation. The idea is to reverse one direction of the roadway in order to accommodate the often substantially increased travel demand moving away from the impact area. Efficient planning and operation is critical to a successful contraflow implementation. Alabama has an approximately 140-mile contraflow segment on I-65 between exit 31 and exit 167 and has carried out contraflow operations several times in past hurricane evacuations. The timing for the deployment of equipment and personnel and the initiation and termination of actual contraflow affects the effectiveness, safety, and cost of the operation. Researchers from the University of Alabama were tasked with the design of a decision support system for contraflow evacuation planning. The conceived decision support system consists of three main modules: the demand module, the network optimization module, and the incident and characterization module. This paper focuses on the design of the traffic incident generation and characterization module of the planned decision support system. |
| format | Article |
| id | doaj-art-497c5274b8b84dcd9699952ff2e5860f |
| institution | Kabale University |
| issn | 1687-5591 1687-5605 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Modelling and Simulation in Engineering |
| spelling | doaj-art-497c5274b8b84dcd9699952ff2e5860f2025-02-03T05:44:24ZengWileyModelling and Simulation in Engineering1687-55911687-56052013-01-01201310.1155/2013/168126168126Incident Occurrence Modeling during Hurricane Evacuation Events: The Case of Alabama's I-65 CorridorDaniel J. Fonseca0Yingyan Lou1Gary P. Moynihan2Saravanan Gurupackiam3Department of Mechanical Engineering, The University of Alabama, Tuscaloosa, AL 35487, USASchool of Sustainable Engineering and Built Environment, Arizona State University, Tempe, AZ 85281, USADepartment of Civil, Construction, and Environmental Engineering, The University of Alabama, Tuscaloosa, AL 35487, USAPenn State University, Harrisburg, Middletown, PA 17057, USAContraflow on major evacuation routes is one scheme that has been adopted in many Gulf and eastern coastal states for hurricane evacuation. The idea is to reverse one direction of the roadway in order to accommodate the often substantially increased travel demand moving away from the impact area. Efficient planning and operation is critical to a successful contraflow implementation. Alabama has an approximately 140-mile contraflow segment on I-65 between exit 31 and exit 167 and has carried out contraflow operations several times in past hurricane evacuations. The timing for the deployment of equipment and personnel and the initiation and termination of actual contraflow affects the effectiveness, safety, and cost of the operation. Researchers from the University of Alabama were tasked with the design of a decision support system for contraflow evacuation planning. The conceived decision support system consists of three main modules: the demand module, the network optimization module, and the incident and characterization module. This paper focuses on the design of the traffic incident generation and characterization module of the planned decision support system.http://dx.doi.org/10.1155/2013/168126 |
| spellingShingle | Daniel J. Fonseca Yingyan Lou Gary P. Moynihan Saravanan Gurupackiam Incident Occurrence Modeling during Hurricane Evacuation Events: The Case of Alabama's I-65 Corridor Modelling and Simulation in Engineering |
| title | Incident Occurrence Modeling during Hurricane Evacuation Events: The Case of Alabama's I-65 Corridor |
| title_full | Incident Occurrence Modeling during Hurricane Evacuation Events: The Case of Alabama's I-65 Corridor |
| title_fullStr | Incident Occurrence Modeling during Hurricane Evacuation Events: The Case of Alabama's I-65 Corridor |
| title_full_unstemmed | Incident Occurrence Modeling during Hurricane Evacuation Events: The Case of Alabama's I-65 Corridor |
| title_short | Incident Occurrence Modeling during Hurricane Evacuation Events: The Case of Alabama's I-65 Corridor |
| title_sort | incident occurrence modeling during hurricane evacuation events the case of alabama s i 65 corridor |
| url | http://dx.doi.org/10.1155/2013/168126 |
| work_keys_str_mv | AT danieljfonseca incidentoccurrencemodelingduringhurricaneevacuationeventsthecaseofalabamasi65corridor AT yingyanlou incidentoccurrencemodelingduringhurricaneevacuationeventsthecaseofalabamasi65corridor AT garypmoynihan incidentoccurrencemodelingduringhurricaneevacuationeventsthecaseofalabamasi65corridor AT saravanangurupackiam incidentoccurrencemodelingduringhurricaneevacuationeventsthecaseofalabamasi65corridor |