Online Coordination Mechanism for Road Infrastructure Restoration using Unmanned Aerial Vehicles

Authors

Mohammad Amin FarzanehFollow

Document Type

Thesis

Degree

Master of Science (MS)

Major/Program

Engineering Management

First Advisor's Name

Shabnam Rezapour

First Advisor's Committee Title

Committee chair

Second Advisor's Name

Shih-ming (Ted) Lee

Second Advisor's Committee Title

Committee member

Third Advisor's Name

Mohammadhadi Amini

Third Advisor's Committee Title

Committee member

Keywords

Road network restoration, Disaster response, Online optimization, Interdependent operations

Date of Defense

6-26-2020

Abstract

The goal of this thesis is to study two barriers of efficient road network restoration, namely, the lack of debris information and the lack of coordination among the restoration operations. We develop an integrative online optimization model with a model-based data diffusion component to coordinate three restoration-interdependent operations in the disaster response phases such as damage assessment, road recovery, and relief distribution. The model developed for the damage assessment operation controls the debris data diffusion speed in the integrative framework. This data is periodically shared with an online model developed to prioritize the recovery process for blocked roads. Road prioritization is done in a way to make the highest acceleration in the relief distribution operation. The integrative framework is tested on the road network of Miami-Dade and its performance is compared with an online heuristic benchmark mimicking the performance of the Federal Emergency Management Agency.

Identifier

FIDC009013

Recommended Citation

Farzaneh, Mohammad Amin, "Online Coordination Mechanism for Road Infrastructure Restoration using Unmanned Aerial Vehicles" (2020). FIU Electronic Theses and Dissertations. 4507.
https://digitalcommons.fiu.edu/etd/4507