AIMC Topic: Pedestrians

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Revealing the impacts of the built environment factors on pedestrian-weighted air pollutant concentration using automated and interpretable machine learning.

Journal of environmental management Jul 1, 2025
Urban air pollution poses significant health risks, especially to pedestrians due to their proximity to pollutants and lack of physical protection. Understanding the influence of built environment factors is essential to mitigate this pollution and s...
Machine Learning Environmental Monitoring Humans Particulate Matter Pedestrians Built Environment Air Pollutants Air Pollution
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A game theoretical model to examine pedestrian behaviour and safety on unsignalised slip lanes using AI-based video analytics.

Accident; analysis and prevention Jul 1, 2025
Left-turn slip lanes, also known as channelised right-turn lanes in right-hand driving countries, are widely implemented to facilitate left-turning at signalised intersections. However, pedestrian safety on slip lanes is not well known. At unsignalis...
Game Theory Automobile Driving Video Recording Pedestrians Accidents, Traffic Safety Intention Decision Making Walking Male Environment Design Artificial Intelligence Female Humans
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Harnessing optimization with deep learning approach on intelligent transportation system for anomaly detection in pedestrian walkways.

Scientific reports May 19, 2025
Anomaly Detection (AD) in pedestrian walkways is significant in urban safety and security methods. It is generally employed for perceiving unusual or abnormal situations, behaviours, or actions in regions devoted to pedestrian traffic, like pedestria...
Algorithms Transportation Deep Learning Walking Humans Pedestrians Image Processing, Computer-Assisted
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Waist rotation angle as indicator of probable human collision-avoidance direction for autonomous mobile robots.

PloS one Jan 1, 2025
The likelihood of pedestrians encountering autonomous mobile robots (AMRs) in smart cities is steadily increasing. While previous studies have explored human-to-human collision avoidance, the behavior of humans avoiding AMRs in direct, head-on scenar...
Humans Adult Male Robotics Female Young Adult Rotation Pedestrians Accidents, Traffic
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Application of Deep Learning Methods for Pedestrian Collision Detection Using Dashcam Videos.

Stapp car crash journal Nov 1, 2020
The goal of this study is to clarify the usefulness of deep learning methods for pedestrian collision detection using dashcam videos for advanced automatic collision notification, focusing on pedestrians, as they make up the highest number of traffic...
Humans Accidents, Traffic Japan Walking Deep Learning Pedestrians Automobiles
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Non-linear effects of the built environment on automobile-involved pedestrian crash frequency: A machine learning approach.

Accident; analysis and prevention Mar 1, 2018
Although a growing body of literature focuses on the relationship between the built environment and pedestrian crashes, limited evidence is provided about the relative importance of many built environment attributes by accounting for their mutual int...
Humans Spatial Analysis Pedestrians Machine Learning Accidents, Traffic Multivariate Analysis Washington Environment Design Models, Statistical
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Real-time Pedestrian Crossing Recognition for Assistive Outdoor Navigation.

Studies in health technology and informatics Jan 1, 2015
Navigation in urban environments can be difficult for people who are blind or visually impaired. In this project, we present a system and algorithms for recognizing pedestrian crossings in outdoor environments. Our goal is to provide navigation cues ...
Cues Computer Systems Algorithms Urban Population Imaging, Three-Dimensional Datasets as Topic Software Design Vision Disorders Wearable Electronic Devices Humans Cloud Computing Robotics Artificial Intelligence Blindness Pedestrians
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