AIMC Topic: Accidents, Traffic

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The driver's instantaneous situation awareness when the alarm rings during the take-over of vehicle control in automated driving.

Traffic injury prevention Sep 28, 2022
OBJECTIVE: The driver's instantaneous situation awareness in the process of take-over of vehicle control in automated driving has not yet been thoroughly investigated. The proposed research can provide a better understanding of the driver's perceived...
Automobile Driving Reaction Time Humans Accidents, Traffic Awareness
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Prediction of Duration of Traffic Incidents by Hybrid Deep Learning Based on Multi-Source Incomplete Data.

International journal of environmental research and public health Sep 1, 2022
Traffic accidents causing nonrecurrent congestion and road traffic injuries seriously affect public safety. It is helpful for traffic operation and management to predict the duration of traffic incidents. Most of the previous studies have been in a c...
Neural Networks, Computer Accidents, Traffic Time Deep Learning Algorithms
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Anomaly Detection in Traffic Surveillance Videos Using Deep Learning.

Sensors (Basel, Switzerland) Aug 31, 2022
In the recent past, a huge number of cameras have been placed in a variety of public and private areas for the purposes of surveillance, the monitoring of abnormal human actions, and traffic surveillance. The detection and recognition of abnormal act...
Neural Networks, Computer Deep Learning Algorithms Humans Accidents, Traffic Cities
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Accident Liability Determination of Autonomous Driving Systems Based on Artificial Intelligence Technology and Its Impact on Public Mental Health.

Journal of environmental and public health Aug 31, 2022
With the rise of self-driving technology research, the establishment of a scientific and perfect legal restraint and supervision system for self-driving vehicles has been gradually paid attention to. The determination of tort liability subject of tra...
Mental Health Artificial Intelligence Accidents, Traffic Technology Automobile Driving
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Comparison of Eye and Face Features on Drowsiness Analysis.

Sensors (Basel, Switzerland) Aug 30, 2022
Drowsiness is one of the leading causes of traffic accidents. For those who operate large machinery or motor vehicles, incidents due to lack of sleep can cause property damage and sometimes lead to grave consequences of injuries and fatality. This st...
Sleep Cluster Analysis Humans Attention Neural Networks, Computer Accidents, Traffic
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A data-centric weak supervised learning for highway traffic incident detection.

Accident; analysis and prevention Aug 19, 2022
Using the data from loop detector sensors for near-real-time detection of traffic incidents on highways is crucial to averting major traffic congestion. While recent supervised machine learning methods offer solutions to incident detection by leverag...
Accidents, Traffic Supervised Machine Learning Support Vector Machine Data Collection Humans
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A Bayesian deep learning method for freeway incident detection with uncertainty quantification.

Accident; analysis and prevention Aug 16, 2022
Incident detection is fundamental for freeway management to reduce non-recurrent congestions and secondary incidents. Recently, machine learning technologies have made considerable progress in the incident detection field, but many still face challen...
Neural Networks, Computer Deep Learning Humans Bayes Theorem Uncertainty Accidents, Traffic
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Analysis on Risk Characteristics of Traffic Accidents in Small-Spacing Expressway Interchange.

International journal of environmental research and public health Aug 12, 2022
Many small-spacing interchanges (SSI) appear when the density of the expressway interchanges increases. However, the characteristics of traffic accidents in SSI have not been explained clearly. Therefore, this paper systematically takes the G3001 exp...
Support Vector Machine Accidents, Traffic Risk Factors Logistic Models
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Risky-Driving-Image Recognition Based on Visual Attention Mechanism and Deep Learning.

Sensors (Basel, Switzerland) Aug 5, 2022
Risky driving behavior seriously affects the driver's ability to react, execute and judge, which is one of the major causes of traffic accidents. The timely and accurate identification of the driving status of drivers is particularly important, since...
Recognition, Psychology Automobile Driving Deep Learning Data Collection Accidents, Traffic
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Vehicle Safety-Assisted Driving Technology Based on Computer Artificial Intelligence Environment.

Computational intelligence and neuroscience Jun 18, 2022
In this paper, we propose an assisted driving system implemented with a Jetson nano-high-performance embedded platform by using machine vision and deep learning technologies. The vehicle dynamics model is established under multiconditional assumption...
Automobile Driving Accidents, Traffic Computers Technology Artificial Intelligence
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