Emergency evacuation study for the Greater Jackson Area : evacuation traffic from New Orleans.
-
2011-05-21
-
Details:
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
Resource Type:
-
Geographical Coverage:
-
Edition:Final project report.
-
Corporate Publisher:
-
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.
-
Format:
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type: