AIMC Topic: Safety

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Cooperative control of self-learning traffic signal and connected automated vehicles for safety and efficiency optimization at intersections.

Accident; analysis and prevention Dec 19, 2024
Cooperative control of intersection signals and connected automated vehicles (CAVs) possess the potential for safety enhancement and congestion alleviation, facilitating the integration of CAVs into urban intelligent transportation systems. This rese...
Safety Automobile Driving Automation Automobiles Accidents, Traffic Humans China Environment Design Deep Learning
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Safety After Dark: A Privacy Compliant and Real-Time Edge Computing Intelligent Video Analytics for Safer Public Transportation.

Sensors (Basel, Switzerland) Dec 19, 2024
Public transportation systems play a vital role in modern cities, but they face growing security challenges, particularly related to incidents of violence. Detecting and responding to violence in real time is crucial for ensuring passenger safety and...
Humans Safety Transportation Artificial Intelligence Privacy Deep Learning Video Recording
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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 ...
Deep Learning Image Processing, Computer-Assisted Environment Design Humans Safety Built Environment Pedestrians Accidents, Traffic
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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...
Video Recording Wounds and Injuries Accidents, Traffic Safety Neural Networks, Computer Machine Learning Models, Statistical Regression Analysis Environment Design Humans
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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.
Railroads Machine Learning Environment Design Accidents, Traffic Safety Cluster Analysis Humans
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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...
Biomechanical Phenomena Risk Assessment Models, Theoretical Equipment Design China Humans Machine Learning Decision Support Techniques Wounds and Injuries Bicycling Accidents, Traffic Safety
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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 Algorithms Humans Safety Reproducibility of Results 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 Support Vector Machine Deep Learning Humans 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...
Safety Built Environment Humans Environment Design Machine Learning Algorithms Pedestrians Deep Learning Accidents, Traffic
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