Emergency evacuation study for the Greater Jackson Area : evacuation traffic from New Orleans.
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2011-05-21
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Subject/TRT Terms:
- Dynamic traffic assignment
- Disasters and emergency operations
- Emergencies
- Emergency management
- Evacuation
- Simulation
- Intelligent transportation systems
- ITS program applications
- Traffic control
- Traffic congestion
- Traffic flow
- Traffic delays
- Dynamic traffic assignment
- Emergency evacuation
- Simulation
- Intelligent transportation system
- Transportation planning
- Traffic control
- Congestion
- Delay
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Edition:Final project report.
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Abstract:In response to both natural and man-made disasters, more and more emergency evacuation plans have been put ; forward and consistently aims to move a large disaster affected population through a highway network towards safer ; areas as quickly and efficiently as possible. The objectives of this study are 1) to verify the feasibility of applying the ; DYNASMART-P model to simulations of traffic characteristics in both normal and emergency conditions for the ; urban transportation system in the Greater Jackson metropolitan area in Mississippi and 2) to evaluate the effects of ; possible traffic management strategies on a large scale evacuation of people under emergency conditions on highway ; network in the Greater Jackson area. In this report, traffic network of the tri-county area including Hinds, Madison ; and Rankin was built through the mesoscopic traffic-network planning and simulation program DYNASMART-P ; based on the dynamic traffic assignment (DTA) model, and applied the model to a highway network on the routes of ; the evacuation. The OD demand as input for the simulation program was calibrated using observed traffic volume ; data collected in several critical routes of evacuation. The evacuation scenario of evacuation traffic from New ; Orleans was designed to study the impacts of the evacuation traffic to the Greater Jackson metropolitan area of ; Mississippi due to an assumed approaching hurricane disaster. Four traffic management strategies including no ; strategy (NS), ITS (IS), contraflow (CS), and contraflow plus ITS (ICS) were tested for their effectiveness in ; reducing congestion. Critically congested freeway segments under different evacuation intensity levels were ; identified based on the criteria of the average queue length percentage, speed, and delay. The causes for congested ; locations of the network were identified and analyzed.
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