Applying findings on intelligent warning beacons to rear vehicle lighting for maximizing safety
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2014/10/14
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Description:Rear signal lighting on vehicles is critical for safe driving during both daytime and nighttime. An innovative study of intellitent warning beacon configurations for service vehicles addressing human factors requirements, communications and sensor technologies is underway. This study will yield information about the luminous intensity distribution, temporal and spatial configurations and advantage of coordination among multiple light sources for ensuring safe passage by drivers around service vehicles u sing warning beacons. This information can have direct implications for rear vehicle lighting for passenger automobiles and all other vehicles on the road. The findings from this study will inform new specifications of rear vehicle lighting and its potential to adapt to different ambient, weather and traffic conditions to create intelligent, visually effective, consistent and meaningful signal lights that will increase driving safety. The results can also impact standards and regulatory issues that must be addressed to maximize safety and information from rear vehicle lighting. [Description provided by NIOSH]
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Pages in Document:1
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NIOSHTIC Number:nn:20047007
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Citation:Proceedings of the Vision Congress 2014, Vehicle and Infrastructure Safety Improvement in Adverse Conditions and Night Driving, October 14-15, 2014, Versailles. Suresnes, France: Societe des Ingenieurs de l'Automobile, 2014 Oct; :1
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Contact Point Address:John D. Bullough, Ph.D., Lighting Research Center, Rensselaer Polytechnic Institute, 21 Union Street, Troy, NY 12180
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Email:bulloj@rpi.edu
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Federal Fiscal Year:2015
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Performing Organization:Rensselaer Polytechnic Institute, Troy, New York
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Peer Reviewed:False
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Start Date:20130901
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Source Full Name:Proceedings of the Vision Congress 2014, Vehicle and Infrastructure Safety Improvement in Adverse Conditions and Night Driving, October 14-15, 2014, Versailles
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End Date:20180831
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Main Document Checksum:urn:sha-512:5d3e578a19fb75347b9c20652d5f0bd60cd286f92ac07f23b671f5f9e25ea3808f765fab3131e923e140733ebc2847203f9a45b7b1b885f86fc78ba399ea80ef
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