Remote Sensing Decision Support System for Optimal Access Restoration in Post Disaster Environments

Posted in Humanitarian Logistics, Transportation Planning, Intelligent Transportation Systems

Project Status

Active

Overview

The project’s main goal is to develop a state-of-the-art Decision Support System (DSS) that, using network condition and disaster impact assessments provided by Commercial Remote Sensing (CRS), will compute optimal Access Restoration Plans (ARP). This will help responders optimally use their scarce resources to orchestrate the road openings, road repairs, and other similar actions; and subdivide the work so that multiple groups could seamlessly cooperate to reach maximum effectiveness. The DSS will process multi-modal temporal data feeds (GIS, social media feeds, etc.) to update estimates of disaster impacts, and will use modern optimization procedures to update the ARP as new data become available. To achieve the overall goal, the team will collaborate to:

  1. Develop CRS techniques that produce rapid assessments of network conditions and disaster impacts integrating multi-modal / multi temporal data
  2. Develop mathematical models to produce ARP using appropriate priority metrics
  3. Create a DSS that is smoothly transitioned to practice, fully validated, and useful to responders.
  4. Develop appropriate procedures for integration of outside assistance.

Objectives

  1. Develop a Commercial Remote Sensing (CRS) Module that allows emergency response personnel and planners to produce rapid and accurate assessments of network conditions and disaster impacts by integrating multi-modal /multi temporal data.
  2. Develop an Optimization Module and the Decision Support System (DSS) to produce an Optimal Access Restoration Plan using appropriate priority metrics.
  3. Create a DSS is smoothly transitioned to practice, fully validated, and useful to responders. These tasks will ensure that the DSS meets the expectations of the end users, in terms of ease of use, quality of results, and usefulness. This will be accomplished by means of creating a Technical Advisory Council, a vigorous process of outreach and validation, and a solid process of training and transition to implementation.
  4. Develop appropriate procedures for integration of multiple responder groups. This objective seeks to facilitate the integration of multiple responder groups (such as nearby DOTs that send equipment like plow trucks and loaders to help the effort) to the overall effort of access restoration.

Key Tasks

  1. Assessment of the CRS technologies for use on debris and flood classification
  2. Development of algorithms for location, classification, and quantification of debris/flood occurrences.
  3. Development of procedures to integrate multi-modal/temporal data to assess disaster impacts.
  4. Development of algorithms and scripts to geo-locate estimates of network conditions and disaster impacts.
  5. Review, evaluate and select applicable priority metrics
  6. Develop and improve the Optimization Module.
  7. System Integration of the CRS and Optimization Modules to create the Decision Support System (DSS).
  8. Creation of Technical Advisory Council (TAC).
  9. Review current practices.
 

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Partners

                          

            

  

 

Sponsors / Funding Sources

U.S. Department of Transportation’s Office of the Assistant Secretary for Research and Technology