Comparing LED Lighting Systems in the Detection and Color Recognition of Roadway Objects

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dc.contributor.authorTerry, Travis N.en
dc.contributor.committeecochairLockhart, Thurmon E.en
dc.contributor.committeecochairGibbons, Ronald B.en
dc.contributor.committeememberSmith-Jackson, Tonya L.en
dc.contributor.departmentIndustrial and Systems Engineeringen
dc.date.accessioned2014-03-14T21:36:58Zen
dc.date.adate2011-07-25en
dc.date.available2014-03-14T21:36:58Zen
dc.date.issued2011-05-11en
dc.date.rdate2011-07-25en
dc.date.sdate2011-06-06en
dc.description.abstractThis study compared two LED luminaires and their abilities to provide detection distance and color recognition distance of potential roadway hazard. Detection distance is regarded as a metric of visibility. Color recognition distance is a metric for comparing the impact of the (Correlated Color Temperature) CCT of each luminaire and their color contrast impact. Mesopic vision, the mode of vision most commonly used for night driving, was considered in this study. Off-axis objects were presented to participants to assess the peripheral abilities of the luminaires. The impacts of luminance and color contrast were addressed in this study. The experiment was performed on the Virginia Smart Road where standard objects of different colors and pedestrians wearing different colors were detected by drivers of a moving vehicle in a controlled environment. The key difference between the two luminaires was their color temperatures (3500K versus 6000K). The results indicated that neither light source provided a significant benefit over the other although significant interactions were found among object color, age, and lighting level. The results indicate that the luminaires provide similar luminance contrast but their color contrasts depend heavily on the color temperature, the object, and the observer. This study followed the protocol developed by the Mesopic Optimisation of Visual Efficiency (MOVE) consortium developed by the CIE for modeling mesopic visual behavior.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-06062011-093649en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-06062011-093649/en
dc.identifier.urihttp://hdl.handle.net/10919/42871en
dc.publisherVirginia Techen
dc.relation.haspartIRB_Approval.pdfen
dc.relation.haspartTerry_TN_T_2011(3).pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectLEDen
dc.subjectroadway safetyen
dc.subjectnight drivingen
dc.subjectlightingen
dc.subjectcolor contrasten
dc.subjectluminance contrasten
dc.subjectsmall target visibilityen
dc.subjectcolor recognitionen
dc.titleComparing LED Lighting Systems in the Detection and Color Recognition of Roadway Objectsen
dc.typeThesisen
thesis.degree.disciplineIndustrial and Systems Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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