Haul Truck Safety and Virtual Environments Training
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2008/08/01
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Personal Author:
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Description:On average, there are approximately 10 fatal haul truck accidents per year. The most common causes for haul truck accidents include mechanical problems, inadequate training and insufficient road/berm maintenance. Due to the frequency and magnitude of haul truck accidents, new training methods are being investigated. With the widespread availability of computers and new technology becoming more reasonably priced, the ability to incorporate computer-based training for miners is becoming more possible. It has been shown that computer-based training is just as effective in knowledge acquisition as traditional lectures, and computer-based training can lead to a significant increase in the retention of material (Williams and Zahed, 1996). Studies have also shown that more engaging training methods lead to more effective knowledge acquisition (Burke et al., 2006). A supplemental system for current and new miner training to address the common causes of fatal accidents was developed. The training system is a virtual preshift inspection of a haul truck, and it can train new haul truck operators to identify parts that look defective. The training will increase an operator's ability to recognize problematic parts and correctly identify the corrective action needed. Increasing the quality of training by providing an engaging, simulated hands-on environment will lead to safer behaviors by trainees, which will ultimately lead to fewer accidents and fatalities. [Description provided by NIOSH]
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ISSN:0026-5187
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Pages in Document:56-60
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Volume:60
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Issue:8
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NIOSHTIC Number:nn:20056347
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Citation:Min Eng 2008 Aug; 60(8):56-60
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Federal Fiscal Year:2008
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Performing Organization:Virginia Polytechnic Institute and State University, Blacksburg
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Peer Reviewed:True
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Start Date:20050901
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Source Full Name:Mining Engineering
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End Date:20081130
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Main Document Checksum:urn:sha-512:1796d4ee1ed528376794a65850d35eacc58fc23c8727d5b874537b3d8baad14fa45aaac265e81b895613b6bbfd9c641af104e2ffa7020a91a33d45585c2001d8
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