Purpose: The aim of this study was to systematically investigate the effect of different levels of refractive blur and driver age on nighttime pedestrian recognition and determine whether clothing that has been shown to improve pedestrian conspicuity is robust to the effects of blur.
Methods: Nighttime pedestrian recognition was measured for 24 visually normal participants (12 younger mean = 24.9 ± 4.5 years and 12 older adults mean = 77.6 ± 5.7 years) for three levels of binocular blur (+0.50 diopter [D], +1.00 D, +2.00 D) compared with baseline (optimal refractive correction). Pedestrians walked in place on a closed road circuit and wore one of three clothing conditions: everyday clothing, a retro-reflective vest, and retro-reflective tape positioned on the extremities in a configuration that conveyed biological motion (known as "biomotion"); the order of conditions was randomized among participants. Pedestrian recognition distances were recorded for each blur and pedestrian clothing combination while participants drove an instrumented vehicle around a closed road course.
Results: The recognition distances for pedestrians were significantly reduced (P < 0.05) by all levels of blur compared with baseline. Pedestrians wearing biomotion clothing were recognized at significantly longer distances than for the other clothing configurations in all blur conditions. However, these effects were smaller for the older adults, who had much shorter recognition distances for all conditions tested.
Conclusions: In summary, even small amounts of blur had a significant detrimental effect on nighttime pedestrian recognition. Biomotion retro-reflective clothing was effective, even under moderately degraded visibility conditions, for both young and older drivers.
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http://dx.doi.org/10.1167/iovs.14-16096 | DOI Listing |
Am J Forensic Med Pathol
January 2025
From the Department of Pathology, University of Michigan, Ann Arbor, MI.
Pedestrian and bicyclist fatalities have increased over the past decade in the United States. Factors proposed to explain this increase include the increased popularity of larger passenger vehicles, road design to accommodate faster-moving traffic, and poor road infrastructure. We analyzed a series of 102 pedestrian and bicyclist fatalities to determine which factors were involved.
View Article and Find Full Text PDFTraffic Inj Prev
November 2024
Insurance Institute for Highway Safety, Ruckersville, Virginia.
Objective: In 2021; half of crash fatalities occurred at night when some road users, like pedestrians, are particularly vulnerable. Automatic emergency braking (AEB) systems can avoid or mitigate collisions by automatically applying the brakes, but their performance may be hindered in low lighting. The purpose of this study was to estimate the proportion of real-world crashes where headlights could provide enough visibility for the driver or AEB system to detect and avoid the collision.
View Article and Find Full Text PDFTraffic Inj Prev
November 2024
Insurance Institute for Highway Safety, Ruckersville, Virginia.
Objective: Automatic emergency braking systems with pedestrian detection (PAEB) are effective at preventing pedestrian crashes, but the safety benefits are not observed at night. This study used the Insurance Institute for Highway Safety (IIHS) PAEB test data to characterize PAEB responses in different lighting conditions and for different rated systems.
Methods: Data from 6,919 IIHS PAEB tests were retrieved from IIHS databases.
Sensors (Basel)
October 2024
Key Laboratory of Ministry of Public Security for Road Traffic Safety, Traffic Management Research Institute of the Ministry of Public Security, Wuxi 214151, China.
The complexity of urban road scenes at night and the inadequacy of visible light imaging in such conditions pose significant challenges. To address the issues of insufficient color information, texture detail, and low spatial resolution in infrared imagery, we propose an enhanced infrared detection model called LFIR-YOLO, which is built upon the YOLOv8 architecture. The primary goal is to improve the accuracy of infrared target detection in nighttime traffic scenarios while meeting practical deployment requirements.
View Article and Find Full Text PDFAccid Anal Prev
January 2025
Civil Engineering, Texas State University, 601 University Drive, San Marcos, TX 78666, United States. Electronic address:
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