A Mathematical Framework for Modeling the Risk of Significant Injury Caused by Non-Lethal Area Weapons

Abstract

Non-lethal weapons are usually used when conflict and disasters occur within a large civilian population. For non-lethal area weapons used against a crowd, assessing the risk of causing significant irreversible injury and the probability of achieving the desired suppression effects is a challenging problem. The outcome is affected by the errors, randomness and uncertainty in the situation. In this study, we aim at building a mathematical framework that takes peculiar characteristics of non-lethal weapons into account. In particular, the framework will allow the incorporation of uncertainty in weapons, errors in weapon deployment and randomness in human subjects. We will study the risk of significant injury caused by non-lethal area weapons, and find the optimal weapon deployment given the uncertainty/randomness in the problem.

Document Details

Document Type
DoD Grant Award
Publication Date
Nov 30, 2017
Source ID
N002441810001

Entities

People

  • Hong Wang

Organizations

  • United States Navy
  • University of California, Santa Cruz

Tags

Readers

  • Distributed Systems and Data Platform Development
  • Neurotrauma and Rehabilitation Medicine.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.