AIMC Topic: Bicycling

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Cyclist safety in the digital age: A review of advanced warning technologies.

Accident; analysis and prevention Apr 25, 2025
Improving the safety of cyclists, who are considered vulnerable road users, is essential. Implementing a warning system that alerts cyclists to nearby hazards is an effective method to improve their safety. Nevertheless, the literature needs a compre...
Accidents, Traffic Safety Bicycling Protective Devices Humans Artificial Intelligence
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Children on wheels: Identifying crash determinants using cluster correspondence analysis.

Accident; analysis and prevention Apr 10, 2025
Child bicyclists (14 years old and younger) are among the most vulnerable road users, facing significant risks of crashes that often result in severe injuries or fatalities. This study aims to identify key factors influencing child bicyclist crashes ...
Environment Design Cluster Analysis Accidents, Traffic Bicycling Humans Child, Preschool Machine Learning Child Male Texas Rural Population Adolescent Female Risk Factors
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Validity of recurrent neural networks to predict pedal forces and lower limb kinetics in cycling.

Journal of biomechanics Mar 8, 2025
Dynamic variables contribute to understand the mechanics of pedalling and can assist with injury prevention. Measuring pedal forces and joint moments and powers has a high cost, which can be mitigated by using trained artificial neural networks (ANN)...
Humans Neural Networks, Computer Recurrent Neural Networks Male Kinetics Young Adult Lower Extremity Bicycling Adult Biomechanical Phenomena
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A novel method for assessing cycling movement status: an exploratory study integrating deep learning and signal processing technologies.

BMC medical informatics and decision making Feb 11, 2025
This study proposes a deep learning-based motion assessment method that integrates the pose estimation algorithm (Keypoint RCNN) with signal processing techniques, demonstrating its reliability and effectiveness.The reliability and validity of this m...
Reproducibility of Results Young Adult Adult Male Humans Algorithms Female Movement Bicycling Deep Learning Signal Processing, Computer-Assisted Accelerometry
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What factors influence the willingness and intensity of regular mobile physical activity?- A machine learning analysis based on a sample of 290 cities in China.

Frontiers in public health Jan 23, 2025
INTRODUCTION: This study, based on Volunteered Geographic Information (VGI) and multi-source data, aims to construct an interpretable macro-scale analytical framework to explore the factors influencing urban physical activities. Using 290 prefecture-...
China Cities Socioeconomic Factors Built Environment Bicycling Male Environment Design Middle Aged Humans Walking Exercise Machine Learning Female Adult
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SE-MAConvLSTM: A deep learning framework for short-term traffic flow prediction combining Squeeze-and-Excitation Network and Multi-Attention Convolutional LSTM Network.

PloS one Dec 5, 2024
Traffic flow prediction is an important part of transportation management and planning. For example, accurate demand prediction of taxis and online car-hailing can reduce the waste of resources caused by empty cars. The prediction of public bicycle f...
Deep Learning Humans Bicycling Neural Networks, Computer Transportation Algorithms
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A hybrid approach for modeling bicycle crash frequencies: Integrating random forest based SHAP model with random parameter negative binomial regression model.

Accident; analysis and prevention Sep 16, 2024
To effectively capture and explain complex, nonlinear relationships within bicycle crash frequency data and account for unobserved heterogeneity simultaneously, this study proposes a new hybrid framework that combines the Random Forest-based SHapley ...
Regression Analysis Bayes Theorem Algorithms Bicycling Risk Factors Random Forest Support Vector Machine Humans Accidents, Traffic Models, Statistical Machine Learning London
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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...
Safety Wounds and Injuries Bicycling Humans Machine Learning China Decision Support Techniques Equipment Design Models, Theoretical Biomechanical Phenomena Accidents, Traffic Risk Assessment
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Kinematics-Based Predictions of External Loads during Handcycling.

Sensors (Basel, Switzerland) Aug 15, 2024
The increased risk of cardiovascular disease in people with spinal cord injuries motivates work to identify exercise options that improve health outcomes without causing risk of musculoskeletal injury. Handcycling is an exercise mode that may be bene...
Female Adult Biomechanical Phenomena Spinal Cord Injuries Bicycling Male Wearable Electronic Devices Humans Neural Networks, Computer Machine Learning Wheelchairs
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Machine learning prediction of pulmonary oxygen uptake from muscle oxygen in cycling.

Journal of sports sciences Aug 7, 2024
The purpose of this study was to test whether a machine learning model can accurately predict VO across different exercise intensities by combining muscle oxygen (MO) with heart rate (HR). Twenty young highly trained athletes performed the following ...
Heart Rate Humans Machine Learning Bicycling Adolescent Oxygen Young Adult Female Oxygen Consumption Muscle, Skeletal Male Exercise Test
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