To make safe road crossing decisions, the pedestrians need to estimate the distance and speed of oncoming vehicles, in order to make conclusions about the available time gap they need for their road crossing. Since the speed represents combination of distance and time, we focused on pedestrians' ability to estimate the speed of the oncoming vehicles accurately. The aim of this study was to find some characteristics important for the speed mis-estimation tendencies and its values. Seventy participants estimated speed 3920 times in total. Research included three experiments. One vehicle participated in the first experiment, while second and third experiments involved two vehicles, with various combinations of vehicle positions and speeds. Initially it was determined that the pedestrians had tendencies to speed underestimation rather than its overestimation and accurate estimation. When the participants estimated the speed of one vehicle, they were more inclined to underestimation of higher speeds (over 50 km/h). On the other hand, in the situations where the participants estimated the speed of two vehicles, they showed a serious tendency towards underestimation of lower speeds (under 50 km/h) which was completely opposite. The factors such as driving experience, age and gender were identified as statistically important in terms of speed underestimation value. We determined that an increase in task complexity, with introduction of a larger number of vehicles, resulted in more severe speed underestimation. Finally, we identified some of the most risky traffic situations in terms of speed underestimation tendencies showed by our participants.
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http://dx.doi.org/10.1016/j.aap.2020.105586 | DOI Listing |
J Opt Soc Am A Opt Image Sci Vis
August 2024
In this paper, we explore the impact of exposure time on optical-phase measurements collected on light that has propagated through atmospheric-optical turbulence. We model the exposure time by phase averaging over a convective distance, and we quantify the associated impact of imposing an exposure time using the piston- and tilt-removed phase variance. We accomplish this analysis through the development of an analytic solution and wave-optics simulations.
View Article and Find Full Text PDFDigit Biomark
December 2024
VivoSense, Inc., Newport Coast, CA, USA.
Introduction: Wrist-worn accelerometers can capture stepping behavior passively, continuously, and remotely. Methods utilizing peak detection, threshold crossing, and frequency analysis have been used to detect steps from wrist-worn accelerometer data, but it remains unclear how different approaches perform across a range of walking speeds and free-living activities. In this study, we evaluated the performance of four open-source methods for deriving step counts from wrist-worn accelerometry data, when applied to data from a range of structured locomotion and free-living activities.
View Article and Find Full Text PDFCogn Neurodyn
December 2025
CIPCE, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, North Kargar Ave., Tehran, Iran.
The term "neuroenhancement" describes the enhancement of cognitive function associated with deficiencies resulting from a specific condition. Nevertheless, there is currently no agreed-upon definition for the term "neuroenhancement", and its meaning can change based on the specific research being discussed. As humans, our continual pursuit of expanding our capabilities, encompassing both cognitive and motor skills, has led us to explore various tools.
View Article and Find Full Text PDFPLoS One
January 2025
Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China.
The "food desert" problem has been treated under a national strategy in the United States and other countries. At present, there is little research on the phenomenon of "food desert" in China. This study takes Shanghai as the research area and proposes a multiscale analysis method using a linear tessellation model that splits the street network into homogeneous linear units.
View Article and Find Full Text PDFSoc Networks
January 2024
Departments of Sociology, Statistics, Computer Science, and EECS, University of California, Irvine, CA, United States.
The exponential-family random graph models (ERGMs) have emerged as an important framework for modeling social networks for a wide variety of relational types. ERGMs for valued networks are less well-developed than their unvalued counterparts, and pose particular computational challenges. Network data with edge values on the non-negative integers (count-valued networks) is an important such case, with examples ranging from the magnitude of migration and trade flows between places to the frequency of interactions and encounters between individuals.
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