AIMC Topic: Safety

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Investigating streetscape environmental characteristics associated with road traffic crashes using street view imagery and computer vision.

Accident; analysis and prevention Nov 23, 2024
Examining the relationship between streetscape features and road traffic crashes is vital for enhancing roadway safety. Traditional field surveys are often inefficient and lack comprehensive spatial coverage. Leveraging street view images (SVIs) and ...
Accidents, Traffic Safety Built Environment Environment Design Pedestrians Deep Learning Image Processing, Computer-Assisted Humans
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Predicting pedestrian-vehicle interaction severity at unsignalized intersections.

Traffic injury prevention Oct 15, 2024
OBJECTIVES: This study aims to develop and validate a novel deep-learning model that predicts the severity of pedestrian-vehicle interactions at unsignalized intersections, distinctively integrating Transformer-based models with Multilayer Perceptron...
Pedestrians Accidents, Traffic Safety Deep Learning Environment Design Humans
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Investigation of a surrogate measure-based safety index for predicting injury crashes at signalized intersections.

Traffic injury prevention Sep 26, 2024
OBJECTIVES: The paper develops a machine learning-based safety index for classifying traffic conflicts that can be used to estimate the frequency of signalized intersection crashes, with a focus on the more severe ones that result in fatal and severe...
Machine Learning Environment Design Models, Statistical Humans Neural Networks, Computer Safety Video Recording Wounds and Injuries Regression Analysis Accidents, Traffic
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Evaluating the effectiveness of safety countermeasures at highway-railway grade crossing based on a machine learning framework.

Traffic injury prevention Sep 26, 2024
OBJECTIVE: This research aims to cluster similar highway-railway grade crossings (HRGCs) to examine the safety countermeasures at HRGCs.
Safety Railroads Environment Design Humans Machine Learning Cluster Analysis Accidents, Traffic
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Optimizing vehicle Front-End structure for e-bike rider Safety: An advanced Multi-Objective approach using injury prediction models.

Accident; analysis and prevention Aug 29, 2024
A multi-objective optimization method based on an injury prediction model is proposed to address the increasingly prominent safety issues for e-bike riders in Chinese road traffic. This method aims to enhance the protective effect of vehicle front-en...
Equipment Design Accidents, Traffic Wounds and Injuries Bicycling Safety Risk Assessment China Models, Theoretical Decision Support Techniques Biomechanical Phenomena Humans Machine Learning
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Gauging road safety advances using a hybrid EWM-PROMETHEE II-DBSCAN model with machine learning.

Frontiers in public health Aug 22, 2024
INTRODUCTION: Enhancing road safety conditions alleviates socioeconomic hazards from traffic accidents and promotes public health. Monitoring progress and recalibrating measures are indispensable in this effort. A systematic and scientific decision-m...
Accidents, Traffic Humans Reproducibility of Results Algorithms Safety Machine Learning Cluster Analysis
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LERCause: Deep learning approaches for causal sentence identification from nuclear safety reports.

PloS one Aug 22, 2024
Identifying causal sentences from nuclear incident reports is essential for advancing nuclear safety research and applications. Nonetheless, accurately locating and labeling causal sentences in text data is challenging, and might benefit from the usa...
Safety Neural Networks, Computer Humans Support Vector Machine Deep Learning Natural Language Processing
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Investigating the influence of streetscape environmental characteristics on pedestrian crashes at intersections using street view images and explainable machine learning.

Accident; analysis and prevention Jul 1, 2024
Examining the relationship between streetscape features and road traffic accidents is pivotal for enhancing roadway safety. While previous studies have primarily focused on the influence of street design characteristics, sociodemographic features, an...
Humans Accidents, Traffic Safety Deep Learning Built Environment Machine Learning Algorithms Environment Design Pedestrians
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Enhancing Aviation Safety through AI-Driven Mental Health Management for Pilots and Air Traffic Controllers.

Cyberpsychology, behavior and social networking Jun 25, 2024
This article provides an overview of the mental health challenges faced by pilots and air traffic controllers (ATCs), whose stressful professional lives may negatively impact global flight safety and security. The adverse effects of mental health dis...
Safety Accidents, Aviation Aviation Pilots Artificial Intelligence Mental Disorders Mental Health Humans
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Supporting equitable and responsible highway safety improvement funding allocation strategies - Why AI prediction biases matter.

Accident; analysis and prevention Apr 17, 2024
The existing methodologies for allocating highway safety improvement funding closely rely on the utilization of crash prediction models. Specifically, these models produce predictions that estimate future crash hazard levels in different geographical...
Resource Allocation Humans Artificial Intelligence Bias Accidents, Traffic Socioeconomic Factors Safety Models, Statistical
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