AIMC Topic: Automobile Driving

Clear Filters Showing 1 to 10 of 254 articles

GNN-RMNet: Leveraging graph neural networks and GPS analytics for driver behavior and route optimization in logistics.

PloS one Aug 7, 2025
Logistics networks are becoming increasingly complex and rely more heavily on real-time vehicle data, necessitating intelligent systems to monitor driver behavior and identify route anomalies. Traditional techniques struggle to capture the dynamic sp...
Humans Deep Learning Automobile Driving Graph Neural Networks Algorithms Geographic Information Systems Neural Networks, Computer
View on PubMed DOI

Exploiting heart rate variability for driver drowsiness detection using wearable sensors and machine learning.

Scientific reports Jul 10, 2025
Driver drowsiness is a critical issue in transportation systems and a leading cause of traffic accidents. Common factors contributing to accidents include intoxicated driving, fatigue, and sleep deprivation. Drowsiness significantly impairs a driver'...
Algorithms Female Adult Humans Machine Learning Automobile Driving Sleep Stages Photoplethysmography Accidents, Traffic Heart Rate Male Wearable Electronic Devices
View on PubMed DOI

Predicting car accident severity in Northwest Ethiopia: a machine learning approach leveraging driver, environmental, and road conditions.

Scientific reports Jul 1, 2025
Road traffic accidents (RTAs) in Northwest Ethiopia, a region with a fatality rate of 32.2 per 100,000 residents, pose a critical public health challenge exacerbated by infrastructural deficits and environmental hazards. This study leverages machine ...
Ethiopia Accidents, Traffic Automobile Driving Middle Aged Adolescent Machine Learning Female Adult Male Young Adult Humans
View on PubMed DOI

Interval type-2 intelligent fuzzy vehicle speed controller design using headlamp reflection detection and an adaptive neuro-fuzzy inference system.

PloS one Jun 2, 2025
In this study, we present an algorithm to estimate the distance between a vehicle and a target object using light from headlights captured by a camera. In situations with limited distance data, we also design a fuzzy controller using the adaptive neu...
Fuzzy Logic Automobile Driving Humans Algorithms Neural Networks, Computer
View on PubMed DOI

Advanced traffic conflict analysis for safety evaluation at roundabouts under mixed traffic using extreme value theory.

Accident; analysis and prevention May 16, 2025
Roundabout safety evaluation in non-lane-based, heterogeneous traffic conditions in low-middle-income countries brings challenges due to unavailable/unreliable crash data, thereby switching to the utilization of safety surrogates. This study employed...
Automobile Driving Video Recording Accidents, Traffic Safety Models, Theoretical Humans Environment Design
View on PubMed DOI

Pattern recognition in crash clusters involving vehicles with advanced driving technologies.

Accident; analysis and prevention May 6, 2025
Autonomous Vehicle (AV) technologies, including Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS), have significant potential to reduce crashes caused by driver errors. However, as AVs become more prevalent on roadways, th...
Automobile Driving Automation Automobiles Accidents, Traffic Risk Factors Humans Cluster Analysis
View on PubMed DOI

Dynamic cross-domain transfer learning for driver fatigue monitoring: multi-modal sensor fusion with adaptive real-time personalizations.

Scientific reports May 6, 2025
Driver fatigue is one of the most common causes of road accidents, which means that there is a great need for robust and adaptive monitoring systems. Current models of fatigue detection suffer from domain-specific limitations in generalizing across d...
Automobile Driving Fatigue Electrocardiography Electroencephalography Humans Accidents, Traffic Neural Networks, Computer Machine Learning Algorithms
View on PubMed DOI

A dense multi-pooling convolutional network for driving fatigue detection.

Scientific reports May 3, 2025
Driver fatigue is one of the major causes of traffic accidents, particularly for drivers of large vehicles, who are more susceptible to fatigue due to prolonged driving hours and monotonous conditions during their journeys. Existing vision-based driv...
Neural Networks, Computer Algorithms Fatigue Accidents, Traffic Humans Automobile Driving
View on PubMed DOI

HATNet: EEG-Based Hybrid Attention Transfer Learning Network for Train Driver State Detection.

IEEE transactions on cybernetics Apr 23, 2025
Electroencephalography (EEG) is widely utilized for train driver state detection due to its high accuracy and low latency. However, existing methods for driver status detection rarely use the rich physiological information in EEG to improve detection...
Adult Male Electroencephalography Machine Learning Algorithms Humans Automobile Driving Neural Networks, Computer Signal Processing, Computer-Assisted Attention
View on PubMed DOI

Deep reinforcement learning for decision making of autonomous vehicle in non-lane-based traffic environments.

PloS one Apr 16, 2025
Existing research on decision-making of autonomous vehicles (AVs) has mainly focused on normal road sections, with limited exploration of decision-making in complex traffic environments without lane markings. Taking toll plaza diverging area as an ex...
Automobiles Computer Simulation Humans Automobile Driving Deep Learning Reinforcement Machine Learning Algorithms Decision Making
View on PubMed DOI
Popular Topics
Recent Journals