The successful operation of man–machine systems requires consistent human operation and reliable machine performance. Machine reliability has received numerous improvements, whereas human-related operational uncertainty is an area of increasing research interest. Most studies and formal documentation only provide suggestions for alleviating human uncertainty instead of providing specific methods to ensure operation accuracy in real-time. This paper presents a general framework for a reliable system that compensates for human-operating uncertainty during operation. This system learns the response of the user, constructs the user’s behavior pattern, and then creates compensated instructions to ensure the completion of the desired tasks, thus improving the reliability of the man–machine system. The proposed framework is applied to the development of an intelligent vehicle parking assist system. Existing parking assist systems do not account for driver error, nor do they consider realistic urban parking spaces with obstacles. The proposed system computes a theoretical path once a parking space is identified. Audio commands are then sent to the driver with real-time compensation to minimize deviations from the path. When an operation is too far away from the desired path to be compensated, a new set of instructions is computed based on the collected uncertainty. Tests with various real-world urban parking scenarios indicated that there is a possibility to park a vehicle with a space that is as small as 1.07 times the vehicle length with up to 30% uncertainty. Results also show that the compensation scheme allows diverse operators to reliably achieve a desired goal.
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September 2015
Research Papers
Compensating for Operational Uncertainty in Man–Machine Systems: A Case Study on Intelligent Vehicle Parking Assist System
Dale Su,
Dale Su
Department of Mechanical Engineering,
National Cheng Kung University
, Tainan 70101
, Taiwan
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Kuei-Yuan Chan
Kuei-Yuan Chan
1
Department of Mechanical Engineering,
National Taiwan University
, Taipei 10617
, Taiwan
e-mail: chanky@ntu.edu.tw1Corresponding author.
Search for other works by this author on:
Dale Su
Department of Mechanical Engineering,
National Cheng Kung University
, Tainan 70101
, Taiwan
Kuei-Yuan Chan
Department of Mechanical Engineering,
National Taiwan University
, Taipei 10617
, Taiwan
e-mail: chanky@ntu.edu.tw
1Corresponding author.
Manuscript received June 12, 2014; final manuscript received January 28, 2015; published online July 1, 2015. Assoc. Editor: Alba Sofi.
ASME J. Risk Uncertainty Part B. Sep 2015, 1(3): 031008 (13 pages)
Published Online: July 1, 2015
Article history
Received:
June 12, 2014
Revision Received:
January 28, 2015
Accepted:
April 27, 2015
Online:
July 1, 2015
Citation
Su, D., and Chan, K. (July 1, 2015). "Compensating for Operational Uncertainty in Man–Machine Systems: A Case Study on Intelligent Vehicle Parking Assist System." ASME. ASME J. Risk Uncertainty Part B. September 2015; 1(3): 031008. https://doi.org/10.1115/1.4030438
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