Campus Units

Agricultural and Biosystems Engineering, Industrial and Manufacturing Systems Engineering

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

10-1-2016

Journal or Book Title

Automation in Construction

Volume

70

First Page

14

Last Page

25

DOI

10.1016/j.autcon.2016.06.013

Abstract

This research investigated how machine operator expertise, strategies, and decision-making can be integrated into operator models that simulate authentic human behavior in construction machine operations. Physical prototype tests of construction machines require significant time and cost. However, computer-based simulation is often limited by the fidelity in which human operators are modeled. A greater understanding of how highly skilled operators obtain high machine performance and productivity can inform machine development and advance construction automation technology. Operator interviews were conducted to build a framework of tasks, strategies, and cues commonly used while controlling an excavator through repeating work cycles. A closed loop simulation demonstrated that an operator model could simulate the trenching work cycle with multiple operator strategies, and adapt to different vehicle and work site settings. A Virtual Operator Model that captures human expert behaviors can be used to assess vehicle characteristics and efficiency, and inform the design of automation systems.

Comments

This is a manuscript of an article from Automation in Construction 70 (2016): 14, doi: 10.1016/j.autcon.2016.06.013. Posted with permission.

Copyright Owner

Elsevier Inc.

Language

en

File Format

application/pdf

Published Version

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