Flood Vulnerability Assessment and Data Visualization for Lifeline Transportation Network

Nazari, Rouzbeh; Motamedi, Mohammad Hosein; Rowan University, College of Engineering; University of Alabama at Birmingham. School of Engineering

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

i

Flood Vulnerability Assessment and Data Visualization for Lifeline Transportation Network

2020-03-01
By Nazari, Rouzbeh ; Motamedi, Mohammad Hosein

English

Details You May Also Like

Details:

Creators:

Nazari, Rouzbeh ; Motamedi, Mohammad Hosein

Nazari, Rouzbeh ; Motamedi, Mohammad Hosein Less -
Corporate Creators:

Rowan University, College of Engineering ; University of Alabama at Birmingham. School of Engineering

Rowan University, College of Engineering ; University of Alabama at Birmingham. School of Engineering Less -
Contributors:

Thompson, Sean
Corporate Contributors:

Rutgers University. Center for Advanced Infrastructure and Transportation ; New Jersey Department of Community Affairs ; United States. Department of Transportation. Federal Highway Administration ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

Rutgers University. Center for Advanced Infrastructure and Transportation ; New Jersey Department of Community Affairs ; United States. Department of Transportation. Federal Highway Administration ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Coasts Decision Support Systems Disaster Preparedness Disaster Resilience Evacuation Flood Modeling Floods Framework Hurricanes Hydrodynamics Infrastructure Optimization Risk Assessment Service Disruption Traffic Simulation TUFLOW VISSIM Weather Conditions
Publication/ Report Number:

CAIT-UTC-REG15
Resource Type:

Tech Report
Geographical Coverage:

New Jersey ; United States

New Jersey ; United States Less -
Edition:

Final Report Sept 01 2018 – Sept 30 2019
Corporate Publisher:

Rutgers University. Center for Advanced Infrastructure and Transportation
Abstract:

Developing an effective real-time evacuation strategy during extreme storm events such as hurricanes has been a topic of critical significance to the emergency planning and response community. The spatial and temporal variabilities of inland flooding during hurricanes present significant challenges for robust evacuation planning. In this study, a framework for real-time evacuation planning was developed that combines the results obtained from hydrodynamic modeling and traffic microsimulation. First, a fine-scale hydrodynamic model was developed based on depth-averaged 2D shallow-water equations (SWE) to obtain information pertaining to flood depth and velocity for planning evacuation routes during a storm event. Next, a traffic microsimulation was conducted using time-dependent information from the hydrodynamic model regarding the traffic velocities along evacuation routes during an event. An optimization technique was also implemented to reduce the overall travel time by about 6% from that of the base model. The last component of the framework involves combining the results from both models to generate a time-lapse animation of emergency evacuation based on a geographic information system (GIS). The results obtained using this framework could be easily accessed by the general public and decision-makers to enable efficient evacuation planning during extreme storm events.
Format:

PDF
Funding:

69A3551847102
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:1ee7cd9044ca36ae8ac00d8d4ee543a853f83caf64f0c149724f5f9dfd2ee55c
Download URL:

/view/dot/65813/dot_65813_DS1.pdf
File Type:

[PDF-2.87 MB]