Research Plan Development for Modeling and Simulation of Military Operations in Urban Terrain

نویسندگان

  • P. J. Sánchez
  • D. Ferrin
  • Thomas M. Cioppa
  • John B. Willis
  • Niki Deliman Goerger
  • Lloyd P. Brown
چکیده

The transformation of the US Army to the Objective Force will rely heavily upon the use of modeling and simulation (M&S) for analysis, including assessment of our ability to fight in urban environments. Current model research for military operations in urban terrain (MOUT) is disjoint. Current models are judged to be insufficient as a foundation for simulation of urban operations. The Army Model and Simulation Office (AMSO) has formed a Focus Area Collaborative Team (FACT) to address these issues. The MOUT FACT directs all future urban operations modeling efforts to ensure that new simulations credibly depict MOUT. The MOUT FACT employs a top-down approach designed to (1) identify the best urban M&S projects that will address prioritized deficiencies and (2) identify potential collaboration opportunities. This paper details the methodology employed by the MOUT FACT to develop the urban M&S research plan and the results of its efforts to date.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Miniature robots for space and military missions

ABSTUCT Miniature robots enable low-cost planetary surface exploration missions, and new military missions in urban terrain where small robots provide critical assistance to human operations. These space and military missions have many similar technological challenges. Robots can be deployed in environments where it may not be safe or affordable to send humans, or where robots can reduce the ri...

متن کامل

Simulation and Evaluation of Urban Development Scenarios Using Integration of Cellular Automata Model and Game Theory

Urban growth is a dynamic and evolutionary spatial and social process that relates to the changes of urban spatial units and the transformation of people’s lifestyles and consequently demographic changes. Considering the urban development process as a function of land uses interactions, population structure and the strategic behavior of the agents involved in the urban development process (the ...

متن کامل

Modeling Physical Variability for Synthetic MOUT Agents

Generating behavioral variability is an important prerequisite in the development of synthetic MOUT (Military Operations in Urban Terrain) agents for military simulations. Agents that lack variability are predictable and ineffective as opponents and teammates for human trainees. Along with cognitive differences, physical differences contribute towards behavioral variability. In this paper, we d...

متن کامل

Environment–Vehicle Interaction Modeling for Unmanned Aerial System Operations in Complex Airflow Environments

115 INTRODUCTION Today’s war fighters must face their adversaries within a constantly changing and challenging battlefield environment. To help counteract these new threats, our military is deploying ever-increasing numbers of unmanned xisting unmanned aerial system (UAS) platforms do not perform well in environments with complex terrain and highly variable aero dynamics. However, it is essenti...

متن کامل

Developing a Crowd Federate for Military Simulation

Crowds of non-combatants play a large and increasingly recognized role in modern military operations, and often create substantial difficulties for the combatant forces involved. U. S. military actions in Mogadishu, Bosnia, and Iraq exemplify the significant effects crowds may have on military operations. However, in spite of their potential significance, realistic models of crowds are essentia...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003