کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
246200 | 502349 | 2016 | 12 صفحه PDF | دانلود رایگان |
• The virtual operator model (VOM) simulated human operation of construction machines.
• VOM behaviors were based on goals, control strategies, and human perceivable cues.
• The development approach combined human factors and dynamical system modeling.
• VOM simulation demonstrated trenching work cycles with multiple operator strategies.
• Results demonstrated VOM adaptation to different vehicle and work site conditions.
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.
Journal: Automation in Construction - Volume 70, October 2016, Pages 14–25