Introduction: This study examines the effects of high-visibility garment design on daytime pedestrian conspicuity in work zones. Factors assessed were garment color, amount of background material, pedestrian arm motion, scene complexity, and driver age.
Method: The study was conducted in naturalistic conditions on public roads in real traffic. Drivers drove two passes on a 31-km route and indicated when they detected pedestrians outfitted in the fluorescent garments. The locations of the vehicle and the pedestrian were recorded.
Results: Detection distances between fluorescent yellow-green and fluorescent red-orange garments were not significantly different, nor were there any significant two-way interactions involving garment color. Pedestrians were detected at longer distances in lower complexity scenes. Arm motion significantly increased detection distances for pedestrians wearing a Class 2 vest, but had little added benefit on detection distances for pedestrians wearing a Class 2 jacket.
Discussion: Daytime detection distances for pedestrians wearing Class 2 or Class 3 garments are longest when the complexity of the surround is low. The more background information a driver has to search through, the longer it is likely to take the driver to locate a pedestrian--even when wearing a high-visibility garment.
Impact On Industry: These findings will provide information to safety garment manufacturers about characteristics of high-visibility safety garments which make them effective for daytime use.
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http://dx.doi.org/10.1016/j.jsr.2007.12.004 | DOI Listing |
ACS Appl Mater Interfaces
January 2025
College of Food and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, PR China.
The number of cases of Alzheimer's disease (AD) characterized by progressive amnestic syndrome is dramatically increased with population aging. It is urgent to detect and diagnose this disease early. The state of amyloid-beta protein 1-42 (Aβ) was commonly regarded as a hallmark for early diagnosis of AD.
View Article and Find Full Text PDFJ Chem Phys
January 2025
Voevodsky Institute of Chemical Kinetics and Combustion of Siberian Branch of Russian Academy of Sciences, Institutskaya 3, 630090 Novosibirsk, Russia.
We developed a technique allowing the direct observation of photoinduced charge-transfer states (CTSs)-the weakly coupled electron-hole pairs preceding the completely separated charges in organic photovoltaic (OPV) blends. Quadrature detection of the electron spin echo (ESE) signal enables the observation of an out-of-phase ESE signal of CTS. The out-of-phase Electron-Electron Double Resonance (ELDOR) allows measuring electron-hole distance distributions within CTS and its temporal evolution in the microsecond range.
View Article and Find Full Text PDFACS Nano
January 2025
Center for High Pressure Science (CHiPS), State Key Laboratory of Metastable Materials Science & Technology, Yanshan University, Qinhuangdao 066004, China.
Moiré superlattices, created by stacking different van der Waals materials at twist angles, have emerged as a versatile platform for exploring intriguing phenomena such as topological properties, superconductivity, the quantum anomalous Hall effect, and the unconventional Stark effect. Additionally, the formation of moiré superlattice potential can generate spontaneous symmetry breaking, leading to an anisotropic optical response and electronic transport behavior. Herein, we propose a two-step chemical vapor deposition (CVD) strategy for synthesizing WS/SbS moiré superlattices.
View Article and Find Full Text PDFNeurotrauma Rep
December 2024
Truman VA Hospital Research Service, Columbia, Missouri, USA.
Primary blast exposure is a predominant cause of mild traumatic brain injury (mTBI) among veterans and active-duty military personnel, and affected individuals may develop long-lasting behavioral disturbances that interfere with quality of life. Our prior research with the "Missouri Blast" model demonstrated behavioral changes relevant to deficits in cognitive and affective domains after exposure to low-intensity blast (LIB). In this study, behavioral evaluations were extended to 3 months post-LIB injury using multifaceted conventional and advanced behavioral paradigms.
View Article and Find Full Text PDFFront Plant Sci
December 2024
College of Mechanical and Electrical Engineering, Gansu Agricultural University, Lanzhou, China.
Few-shot learning (FSL) methods have made remarkable progress in the field of plant disease recognition, especially in scenarios with limited available samples. However, current FSL approaches are usually limited to a restrictive setting where base classes and novel classes come from the same domain such as PlantVillage. Consequently, when the model is generalized to new domains (field disease datasets), its performance drops sharply.
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