AIMC Topic: Accidents, Traffic

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The novel approaches to classify cyclist accident injury-severity: Hybrid fuzzy decision mechanisms.

Accident; analysis and prevention Jul 2, 2020
In this study, two novel fuzzy decision approaches, where the fuzzy logic (FL) model was revised with the C4.5 decision tree (DT) algorithm, were applied to the classification of cyclist injury-severity in bicycle-vehicle accidents. The study aims to...
Humans Injury Severity Score Built Environment Bicycling Fuzzy Logic Accidents, Traffic Sex Factors
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Hybrid SVM-CNN Classification Technique for Human-Vehicle Targets in an Automotive LFMCW Radar.

Sensors (Basel, Switzerland) Jun 21, 2020
Human-vehicle classification is an essential component to avoiding accidents in autonomous driving. The classification technique based on the automotive radar sensor has been paid more attention by related researchers, owing to its robustness to low-...
Support Vector Machine Pedestrians Accidents, Traffic Humans Neural Networks, Computer Algorithms Radar Motor Vehicles
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Automated traffic incident detection with a smaller dataset based on generative adversarial networks.

Accident; analysis and prevention Jun 20, 2020
An imbalanced and small training sample can cause an incident detection model to have a low detection rate and a high false alarm rate. To solve the scarcity of incident samples, a novel incident detection framework is proposed based on generative ad...
Sample Size Accidents, Traffic Built Environment Humans Research Design Support Vector Machine
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Analyzing Factors Associated with Fatal Road Crashes: A Machine Learning Approach.

International journal of environmental research and public health Jun 9, 2020
Road traffic injury accounts for a substantial human and economic burden globally. Understanding risk factors contributing to fatal injuries is of paramount importance. In this study, we proposed a model that adopts a hybrid ensemble machine learning...
Accidents, Traffic Wounds and Injuries Databases, Factual Risk Factors Humans Machine Learning Data Analysis
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Forecasting deaths of road traffic injuries in China using an artificial neural network.

Traffic injury prevention Jun 5, 2020
This study was conducted to estimate road traffic deaths and to forecast short-term road traffic deaths in China using the Elman recurrent neural network (ERNN) model. An ERNN model was developed using reported police data of road traffic deaths in ...
Accidents, Traffic Forecasting Wounds and Injuries Reproducibility of Results Humans China Neural Networks, Computer
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Trajectory-level fog detection based on in-vehicle video camera with TensorFlow deep learning utilizing SHRP2 naturalistic driving data.

Accident; analysis and prevention May 11, 2020
Providing drivers with real-time weather information and driving assistance during adverse weather, including fog, is crucial for safe driving. The primary focus of this study was to develop an affordable in-vehicle fog detection method, which will p...
Videotape Recording Data Collection Automobile Driving Deep Learning Accidents, Traffic Weather Humans
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Detecting lane change maneuvers using SHRP2 naturalistic driving data: A comparative study machine learning techniques.

Accident; analysis and prevention May 11, 2020
Lane change has been recognized as a challenging driving maneuver and a significant component of traffic safety research. Developing a real-time continuous lane change detection system can assist drivers to perform and deal with complex driving tasks...
Databases, Factual Accidents, Traffic Weather Automobile Driving Data Accuracy Humans Machine Learning
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A machine-learning method for improving crash injury severity analysis: a case study of work zone crashes in Cairo, Egypt.

International journal of injury control and safety promotion Apr 1, 2020
The quality of vehicular collision data is crucial for studying the relationship between injury severity and collision factors. Misclassified injury severity data in the crash dataset, however, may cause inaccurate parameter estimates and consequentl...
Wounds and Injuries Trauma Severity Indices Occupational Injuries Accidents, Traffic Quality Improvement Male Middle Aged Adolescent Triage Egypt Humans Female Machine Learning Young Adult Databases, Factual Adult
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Improve Aggressive Driver Recognition Using Collision Surrogate Measurement and Imbalanced Class Boosting.

International journal of environmental research and public health Mar 31, 2020
Real-time recognition of risky driving behavior and aggressive drivers is a promising research domain, thanks to powerful machine learning algorithms and the big data provided by in-vehicle and roadside sensors. However, since the occurrence of aggre...
Aggression Risk-Taking Machine Learning Algorithms Accidents, Traffic Female Automobile Driving Humans Recognition, Psychology Male Big Data
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A comparison between Artificial Neural Network and Hybrid Intelligent Genetic Algorithm in predicting the severity of fixed object crashes among elderly drivers.

Accident; analysis and prevention Feb 14, 2020
Run-off-road (ROR) crashes have always been a major concern as this type of crash is usually associated with a considerable number of serious injury and fatal crashes. A substantial portion of ROR fatalities occur in collisions with fixed objects at ...
Aged Humans Male Accidents, Traffic Neural Networks, Computer Databases, Factual California Algorithms Female Wounds and Injuries
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