2024-01-3726: HUMAN WORKLOAD MODELING FOR AUTONOMOUS GROUND VEHICLES - Technical Paper

Features

Event: 2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium

Authors

Human Systems Engineering, Georgia Tech Research Institute, Atlanta, GA

W. Stuart Michelson

Human Systems Engineering, Georgia Tech Research Institute, Atlanta, GA

Abstract

Content: ABSTRACT
Accurate models of operator workload in highly automated ground vehicles could inform interface design decisions, predict performance impacts of new systems, and evaluate existing systems. This paper summarizes an existing methodology for modeling human operator workload, demonstrates its application to automated ground vehicles, and discusses its value in development, certification, and acquisition of autonomous military ground systems.

Meta Tags

Topics: Human factors
Automated driving systems
Military vehicles and equipment
Autonomous vehicles
Simulation and modeling
Certification

Affiliated or Co-Author: Human Systems Engineering, Georgia Tech Research Institute, Atlanta, GA

Details

DOI: https://doi.org/10.4271/2024-01-3726

Pages: 7

Citation: Pop, V., and Michelson, W., "HUMAN WORKLOAD MODELING FOR AUTONOMOUS GROUND VEHICLES," SAE Technical Paper 2024-01-3726, 2024, https://doi.org/10.4271/2024-01-3726.

Additional Details

Publisher: National Defense Industrial Association

Published: Nov 15

Product Code: 2024-01-3726

Content Type: Technical Paper

Language: English