AIMC Topic: Accidents, Traffic

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Factors that influence parents' intentions of using autonomous vehicles to transport children to and from school.

Accident; analysis and prevention Jan 25, 2021
High-level autonomous vehicles (AVs) are likely to improve the quality of children's travel to and from school (such as improve travel safety and increase travel mobility). These expected benefits will not be presented if parents are not willing to u...
Decision Making Robotics Schools Child Parents Attitude Accidents, Traffic Intention Female Young Adult Male Middle Aged Adult Humans
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Investigating the safety and operational benefits of mixed traffic environments with different automated vehicle market penetration rates in the proximity of a driveway on an urban arterial.

Accident; analysis and prevention Jan 23, 2021
Traffic congestion is monotonically increasing, especially in large cities, due to rapid urbanization. Traffic congestion not only deteriorates traffic operation and degrades traffic safety, but also imposes costs to the road users. The concerns asso...
Humans Environment Design Accidents, Traffic Safety Automobile Driving Automobiles Robotics City Planning
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Applying machine learning, text mining, and spatial analysis techniques to develop a highway-railroad grade crossing consolidation model.

Accident; analysis and prevention Jan 22, 2021
The consolidation of Highway-Railroad Grade Crossing (HRGC) is one of the effective approaches to decrease the number of crashes between trains and vehicles. From 2015-2019, there were 57 HRGC crashes at crossings in East Baton Rouge Parish (EBRP), r...
Spatial Analysis Railroads Accidents, Traffic Humans Data Mining Male Models, Theoretical Machine Learning
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Traffic accident detection and condition analysis based on social networking data.

Accident; analysis and prevention Jan 15, 2021
Accurate detection of traffic accidents as well as condition analysis are essential to effectively restoring traffic flow and reducing serious injuries and fatalities. This goal can be obtained using an advanced data classification model with a rich ...
Humans Algorithms Neural Networks, Computer Machine Learning Accidents, Traffic Social Networking
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Safety critical event prediction through unified analysis of driver and vehicle volatilities: Application of deep learning methods.

Accident; analysis and prevention Dec 29, 2020
Transportation safety is highly correlated with driving behavior, especially human error playing a key role in a large portion of crashes. Modern instrumentation and computational resources allow for the monitorization of driver, vehicle, and roadway...
Deep Learning Accidents, Traffic Humans Automobile Driving Distracted Driving
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Deep-Learning-Based Prediction of High-Risk Taxi Drivers Using Wellness Data.

International journal of environmental research and public health Dec 18, 2020
BACKGROUND: Factors related to the wellness of taxi drivers are important for identifying high-risk drivers based on human factors. The purpose of this study is to predict high-risk taxi drivers based on a deep learning method by identifying the well...
Automobile Driving Text Messaging Humans Deep Learning Accidents, Traffic
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Mid-term prediction of at-fault crash driver frequency using fusion deep learning with city-level traffic violation data.

Accident; analysis and prevention Dec 8, 2020
Traffic violations and improper driving are behaviors that primarily contribute to traffic crashes. This study aimed to develop effective approaches for predicting at-fault crash driver frequency using only city-level traffic enforcement predictors. ...
Automobile Driving Deep Learning Accidents, Traffic Neural Networks, Computer Machine Learning Humans
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Crash narrative classification: Identifying agricultural crashes using machine learning with curated keywords.

Traffic injury prevention Nov 18, 2020
OBJECTIVE: Traditionally, structured or coded data fields from a crash report are the basis for identifying crashes involving different types of vehicles, such as farm equipment. However, using only the structured data can lead to misclassification o...
Agriculture Algorithms Support Vector Machine Forecasting Humans Bayes Theorem Accidents, Traffic Machine Learning Texas Louisiana
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Methodological considerations in MVC epidemiological research.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention Nov 16, 2020
BACKGROUND: The global burden of MVC injuries and deaths among vulnerable road users, has led to the implementation of prevention programmes and policies at the local and national level. MVC epidemiological research is key to quantifying MVC burden, ...
Artificial Intelligence Research Design Risk Factors Accidents, Traffic Data Collection Humans Adolescent Child
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Modeling and predicting vehicle accident occurrence in Chattanooga, Tennessee.

Accident; analysis and prevention Nov 7, 2020
Given the ever present threat of vehicular accident occurrence endangering the lives of most people, preventative measures need to be taken to combat vehicle accident occurrence. From dangerous weather to hazardous roadway conditions, there are a hig...
Weather Tennessee Cities Models, Theoretical Humans Accidents, Traffic Neural Networks, Computer Forecasting
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