A review of mobility metrics for next generation vehicle mobility models

Abstract

In the United States, the NATO Reference Mobility Model (NRMM) has been used for evaluating military ground vehicle mobility and the Vehicle Cone Index (VCI) has been selected as a mobility metric. VCI represents the minimum soil strength required for a vehicle to consistently make a specific number of passes, usually one or fifty passes. In the United Kingdom the Mean Maximum Pressure (MMP) has been adopted as a metric for assessing military vehicle cross-country mobility. MMP is the mean value of the maxima occurring under all the wheel stations of a vehicle. Both VCI and MMP are empirically based. They have inherent limitations, such as the uncertainty whether the empirical relations for estimating the values of VCI and MMP can be extrapolated beyond the test conditions upon which they were based. This paper presents a review of the issues related to the basis upon which VCI and MMP were developed, as well as their applications to evaluating vehicle mobility in practice. With the progress in terramechanics and in modelling and simulation techniques in recent years, there is a growing desire to develop physics-based mobility metrics for next generation vehicle mobility models. Based on the review, criteria for selecting physics-based mobility metrics are proposed. Following these criteria, metrics for characterizing military vehicle traction capability limits and traversability on a given operating area are recommended.

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Document Details

Document Type
Technical Report
Publication Date
Aug 30, 2019
Accession Number
AD1079722

Entities

People

  • E Toma
  • J. Preston-thomas
  • J. Y. Wong
  • P. Jayakumar

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Contractors
  • Experimental Data
  • Governments
  • Ground Vehicles
  • Measurement
  • Military Vehicles
  • Nato
  • Organic Soils
  • Performance Tests
  • Pressure Distribution
  • Steady State
  • Surface Transportation
  • Tracked Vehicles
  • United States
  • United States Government
  • Vehicle Design
  • Vehicles

Readers

  • Distributed Systems and Data Platform Development
  • Regression Analysis.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.