New RIDE version 2023.3 now available!

We encourage you to read the Release Notes page about the many changes and enhancements from the latest release of RIDE, version 2023.3.

A RESEARCH AND DEVELOPMENT TESTBED ACCELERATING DOD SIMULATION TECHNOLOGIES

Overview

The Rapid Integration & Development Environment (RIDE) is a simulation environment that unites many DoD simulation efforts to provide an accelerated development platform and prototyping sandbox that will provide direct benefit to the Army’s Synthetic Training Environment (STE) as well as the larger DoD simulation communities.

RIDE combines a range of commonly used simulation features in a drag-and-drop development environment, including One World Terrain, NPC and vehicle placement, and AI behaviors.

RIDE is being developed at the USC Institute for Creative Technologies (ICT), a non-profit University Affiliated Research Center. RIDE has been made possible by funding from the Army Cross Functional Teams (CFT) and the Office of Naval Research (ONR).

Benefits

Partnerships across the DoD will lead to unique capabilities and knowledge that become foundational within the STE collaborative environment.

Science & Technology

  • Save Time & Money by jump-starting research initiatives – days becomes hours, months become weeks.
  • Integrate and test efforts in a unified environment.
  • Unified Framework for TRL Levels, Integration potential, and metrics.
  • Shared code base, open and beneficial to all users.
  • Create reusable frameworks for testing and research.

Industry

  • Utilize, evaluate, and inform capabilities that are not currently supported or beyond SOW.
  • Enables continued iterations and testing independent of S&T or Vendor progress.
  • Assists in defining foundational components and verifying systems during dev process.

Government

  • Leverage existing investments and ensure re-use of capabilities.
  • Fuse disparate code for similar functionalities to reduce support costs.
  • Increase automation and reduce resources necessary for development.
  • Simplify path to transition by maintaining RMF and ATO procedures to a single code base.

Capabilities

The following capabilities integrated by the ICT’s STE Research Projects can be easily swapped out, augmented or used in conjunction with a different implementation based on user need.

  • One World Terrain Data and Tools
  • Training Simulation Software Compatibility
  • Speech Recognition
  • Event Injection & Narrative Summarization
  • Cognitive Behavior Modeling
  • Native Machine Learning Foundation
  • Logging, including xAPI and Learner Records
  • Patterns of Life and Realistic AI Behaviors

Contributions from other projects in-progress!​

How to Obtain

The primary target audience of RIDE is developers working on DoD related training simulation systems.

Several RIDE releases typically occur throughout the year. Access to nightly releases available upon request.

Please choose an option below that best represents your organization.

GPR

Government Purpose Rights

Request

Academic

Non-Commercial Research

Apply

Commercial

Commercial Opportunities

Inquire

RIDE is governed by its license agreement and all 3rd party licenses.

Sponsors & Collaborators

Entities within the commercial and DoD communities using RIDE:

Sponsors & Collaborators

Entities within the commercial and DoD communities using RIDE:

PROJECT SHOWCASE

AI for More Effective & Responsive Training: MSELI & Narrative Summarization

The Master Scenario Event List Injection (MSELI) and Narrative Summarization projects are two closely related AI research efforts. The MSELI project works to automate the functions of human Observer-Controllers for the STE. The goal is to build technologies that automatically recognize and interpret the behavior of human trainee teams in the context of a simulated battle.

The Narrative Summarization AI converts these interpretations into English-language narratives for use in After Action Review.

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USC Privacy Notice

The project/effort/work depicted here was or is sponsored by the U.S. Army Research Laboratory (ARL) under contract number W911NF-14-D-0005. Statements and opinions expressed and content included do not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred.